This document contains a resume for Yu HongHong, a 48-year-old female from China and the United States with 25 years of work experience. She currently works as a Technical Director/Manager in Japan, earning an annual income of JPY40,869,707. Her experience includes roles in ERP systems, cloud computing, blockchain, AI, machine learning, and big data analysis. She holds a PhD in Computer Science from Harvard University and master's degrees from Northeastern University. She is seeking new full-time positions in IT management with a target annual salary of JPY3,405,808.

1. December 7, 2018
ERP (SAP, ORCALE, Dynamics, Salesforce)Consultant , Cloud (AWS,Azure,GCP), Block chain, Artificial intelligence(AI), machine learning (ML) and
depth learning (DL) natural language processingNLP, imageprocessing/ image recognition / Generation, Speech Recognition · Composition,
Prediction, Big Data Analysis
Female|48 Years old (1970/03/05) |Married |work Experience 25 Years |Nationality |China and United States
Yu HongHong
5770831, Higashi-Osaka City, Osaka Prefecture, Japan
E-Mail: yuhong268@gmail.com, Mobile: (81)09087479395
Skype:yuhonghong,Wechat:yuhonghong7035
Permission to Work(Visa) Japanese National/Permanent Residence
Recent Work Current Annual Income
Position: Technical Director/Manager JPY40,869,707 CNY￥250 x10 K (Including basic salary,subsidy,bonus,ROE,etc)
Company NTTDATA Japan Basic Salary: ￥200x10K Subsidy ￥10x10K Bonus: ￥5x10K
Industry: Computers,Software Target Salary: JPY3,405,808 CNY￥>2000000 Month
http://www.nttdata.com/jp/ja/insights/foresight/index.html 10000Employees FirstClass Company JobType: Full-time (Employee)
于紅紅 - Google+ https://plus.google.com/107540142247930955611?hl=ja…
Github https://github.com/yuhonghong66
Job Preferences
Target Salary: JPY3,405,808 CNY￥>2000000 Month
Function/Position: IT Manager/Supervisor Technical Director/Manager Project Manager/Supervisor CTO/CIO
IT Technology Director
Duty Time immediately Job Type: Full-time (Employee)
EDUCATION
 Harvard University Computer Science(Ph.D.)The Doctor of Business Administration(Ph.D.) 2001-03～2003-03
 Northeastern University software engineering Master Degree 1996-03～1999-03
 Northeastern University Computer Science &Technology BS 1992-03～1996-03
 China Polytechnic University Accounting Bachelor Degree BS 1992-03～1996-03
SUMMARY OF QUALIFICATION
Managing Director
 I have25-years in global corporate management, IT, security, programme management (project-change-release-
problem-risk-service desk), Sys Admin, Technical Services Manager (CIO), Managing Director, ITIL Master (ISO
27001), Maturity Assessment Auditor, SOX, JSOX, Business Development, Headhunting, documentation and
training. Clients include: NASA, JPL, Caltech, Raytheon, IBM, Toyota, Nissan, Amgen Pharmaceutical, Novartis,
Telecom New Zealand, Hughes Aircraft, Disney, Viacom. Expert in turnaround – Luxury Goods & FMCG
(Fashion, Lingerie, Accessories, Cosmetics, Perfumes, Food & Beverage) – Retail, Franchising, Wholesale, E-
Commerce – Europe, USA, Asia, Middle East – Dynamic Executive, with a real passion for Lifestyle & Fashion,
feeling products potential. pharmaceutical, electronic equipment distribution, management consulting, and
AI&ERP projects and before as a plant and operation manager in high-tech industries running automated
production lines of electronic consumer goods.
 progressive experience in leadership and problem solving for heavy industrial operations. Experience in
multinational and multi cultural site management, MBA, BEng, NEBOSH
 I am a dynamic and proactive manager with significant experience in manufacturing, global sales and business
leadership. I have experience of managing SME&ERP businesses up to, through and post acquisition by larger
multinational European and American corporations. My background stems from management of businesses,
manufacturing high value, engineered systems and services for use in diverse markets. Servicing blue chip global
customers in marine, military, oil/gas, fire/gas and utility sectors.
 I have British and German citizenship. I began my career in Supply Chain Management and eventually moved on
to become a corporate ‘troubleshooter’ in the international arena. My skill set includes Business Process
Transformation, Turnaround Management, and Post-Merger Integration. I am solidin the board room and effective
on the front line. I have successfully carried out troubleshooting missions which require that ‘extra mile’.
 Highly motivated and professional Retail Manager capable of delivering at the highest level. I have first rate
organisational skills and the ability to produce a consistently high standard of work. With excellent interpersonal
skills, Iam an effective team player and capable of engaging and liaising with a broad range of individuals from a
variety of backgrounds.
Management Executive
 A talented and highly regarded Senior M anagement P rofessional who has acquired a wealth of experience where
an exceptional skill set has added significant value to operations and business leadership positions. An individual
who excels in the development and leadership of engaged employee teams where accountability is paramount.
 A high performance commercial professional who has been operating at a strategic level, developing the necessary
skills required to provide effective strategy for business success. A result orientated professional possessing an
exceptional track record of turning vision into achievement, with strong analytical, problem solvingand decision-

2. making skills together with the ability to inspire others to greater success.
 I lead a business unit covering Europe, Russia and India. I direct a team of twenty five staff (GM, Operations,
Finance) spread over fiveoffices and provide secure solutions for clients wishing to transport valuable good
internationally and securely. I am measured on Revenue growth, PBITA growth and Cash Flow. I lead client
negotiations and develop business solutions for clients.
 Results driven, highly motivated Managing Director with Asia Pacific responsibility. Experienced leading,
developing and growing complex businesses with a focus on establishing sustainable relationships with customers,
suppliers and key stakeholders. Proven ability to develop culture and strengthen teams in order to maximise
profitability, staff retention and operational efficiencies. Primarily worked at Main Board level in Construction,
Support Services and Infrastructure sector
 Motivated, clear thinking leader who has grown through a number of international directorship and leadership
roles, including Managing Director, General Manager, Engineering Operations and Quality Management.
Experienced in a wide range of industries with diverse risks - technical, logistical, political and cultural I have
worked very internationally and I am a fluent French speaker.
 GENERAL MANAGEMENT: CxO - CEO • COO • CRO • CCO • MD • GM • (or VP Sales – Marketing – Alliances –
M&A) GLOBAL: USA:5 year • Japan: 20 • china: 10+ • Expansion: built a new Strategic Business Unit to €105m and
700+ people through M&A and organic growth. • Turnaround: restructured a $398m BU with 340 people;
repositioned to return to break-even, and resume growth.
 Looking for Marketing, Commercial or General Management roles in Singapore. Ideally in Lifestyle/Luxury, Tech or
FMCG. - Highly motivated Senior Director with >10 years’ experience leading teams & delivering great results in
cross-functional, multi-market teams. - Broad background across strategy, M&A, finance, marketing, innovation,
commercial, business development and GM - Global, regional and local experience - emerging markets (APAC, E
Europe) and mature (US, W Europe)
 Successful business leader with significant sales and management experience inJapan - Respected team manager
who has attracted, retained and grown talented sales teams. - Business Developer; proven track record of new
business initiation and relationship development - A strategic and tactical player who has networked and
leveraged expertise across business areas. Degree-educated, extremely personable.
 I lead a business unit covering Europe, Russia and India. I direct a team of twenty fivestaff (GM, Operations,
Finance) spread over fiveoffices and provide secure solutions for clients wishing to transport valuable good
internationally and securely. I am measured on Revenue growth, PBITA growth and Cash Flow. I lead client
negotiations and develop business solutions for clients.
Service Director
 Business Administration graduate with 15+ years of progressive hands on experience in Service Delivery,
Presales, Sales and Customer Relationship various global projects. Highly motivated self-starter with a keen
desire for diversified challenges & deliver results on time.
Overall Summary Experience
 25 years of total IT experience of which 5 years at onsite with global customers in APAC, US & Europe.
 Working in NTTDATA Japan Investment company, Tokyo
 20 years with NTTDATA in APAC/US/Europe and India, played several leadership roles
 Rich Experience in Presales/Sales/Delivery and Customer Relationship
 20+ years in various onsite locations in APAC (China, Singapore, Thailand, Malaysia and Korea), US and Europe
managing the relationship of key accounts in delivering multiple projects from global locations.
 Strong communication and proven interpersonal skills resulted in high customer satisfaction and associate
satisfaction index.
 Excellent understanding of machine learning techniques and algorithms, such as RCNN, GAN, DQN
 Solid experience with common programming languages likePython, preferably some C++ and machine learning
libraries like TensorFlow, Torch and Nvidia framework Cuda, excellence in at least one in those categories is
highly desirable
 Great communication skills
 Good applied statistics skills, suchas distributions, statistical testing, regression, etc.
 Good scripting and programming skills
 To be crazy about accelerating the launch of autonomous vehicles
 Assist with the design and implementation of the following:
 End-to-end pipeline for annotation, training and deployment of machine learning algorithms
 Services and dashboards for training progress and validation metrics
 Crowdsourcing pipelines for collecting internal and external annotations
 Participate in the design, development, evaluation, deployment and updating of data-driven models and
analytical solutions for machine learning (ML) applications
 Work with product owners and customers on understanding their learning applications, assisting with
integration and providing ML expertise
 Produce high quality code that is unit tested, code reviewed, and checked in regularly for continuous integration
 Conduct technical investigations and prototyping in a fast-paced environment
 Strong communication skills, both written and oral
 10years of machine learning experience
 Previous software development experience
 Experience in the following areas:
 Computer visionand machine learning
 Image processing
 Creating clean C++ code
 Object-oriented design
 Rapid development and prototyping in Python

3.  GPU compute
 Familiarity with at least one of the following, or similar
platforms: MXNet, Caffe, TensorFlow, Keras, Torch, Dlib, scikit-learn
 Wide mathematical knowledge
 Knowledge of image processing and artificial intelligence
 Intermediate English skills
 C/C++, Java and Python programming languages
 Wide knowledge about software engineering
 Experience in image processing and artificial intelligence R&D area
 Experience with GPUPU (OpenCL, CUDA)
 Experience in Machine learning and Deep learning
 Familiarity with libs and frameworks such as Dlib, Darknet, TensorFlow
 Ability to work independently and systematically
 Competitive salary, share option
 Cooperation with the world’s leading companies (NVidia, Vodafone, etc.)
 Creative individual tasks
 Possibility of an immediate start

Self-Assessment
 I graduated from Harvard University, a foreign information service vendor, a leading US manufacturer, SAP
headquarters, a foreign consulting firm, and now reaches the present. I have experience in consulting in a wide
range of fields including globalization, system strategy, a range of management from concept planning through
introduction and operation of introducing large scale ERP to a wide range of industries such as communication,
finance, pharmaceutical, automobile, manufacturing and distribution. From experience of abundant business
structure analysis, we are best at developing and implementing IT strategy, problem extraction and solution.
Worked at the forefront of business, "Change realization consultant" experienced creed, business system
development, embedded control system development, infrastructure basis 25 years. For both projects of scratch
development and function addition, I experienced diverse projects ranging from requirement definition to
implementation and failure handling. After that, experienced quotation, progress progress, quality control,
customer negotiation as a manager of plural PJ in the past 25 years.
 Lead as a large-scale project manager with a member size of 150 or more, a period of 5 years or more, realizing
sales increase of 20 million yen (cost reduced by 5 millionyen). Currently he is responsible for thirty men as a
manager in the business system, coordinating specifications with customers and managing the development team.
 Financial system 15 years. Overall financial products (stocks, bonds, currencies, off-balance sheet products, etc.)
System introduction mainly for life insurance companies, financial institutions such as securities and banks, central
bank, integration support of city banks restructuring COBOL, Java etc. Experience in framework such as Struts,
Spring, TERASOLUNA C #, Objective-C, multilingual development experience, Waterfall development (10 years
experience, requirements definition, design, development · unit test, Design, manufacture, unit test, bond test) 15
years
 Agile development (Requirement definition ~ until release) 15 years ※ Both styles can be corresponded
Explanation materials preparation · Presentation (training material, technical report, etc.)
 PMO (PM administrator) by assignment management, task analysis, etc.
 Artificial intelligence (AI), machine learning (ML) and deep learning (DL) 15+ years
 I brings a broad understanding of the state of the art of Machine Learning/Deep Learning in the scientific
disciplines to TOYODA company.
 I has a strong publication history in high-impact journals and did My Ph.D. on the application of Deep Learning to
computational chemistry at the Maximilian University of Munich, Germany. I research is about self-exploration
and sensorimotor skill learning in robots, taking a developmental robotics approach. This being only half the story,
I has accumulated a unique profile as a digital musician over the last 20 years. Robotic AI Scientist is a PhD
candidate at the Adaptive systems group as well, pursuing I visionof an affordable walking robot platform,
combining bio-inspired learning processes with full-on mechatronic design. My is qualified further by his unique
social and aesthetic sensitivity, and rare intellectual scope and style. I have mainly led research and development of
Tyche, an AI robot which displays a holistic human-like intelligence. CES 2014, Innovation Award Winner in the
Category of Technology for a Better World. In this domain I has gained hands-on experience in the implementation
of AI technologies including ML and Natural Language Processing. I visionis shaped by the strong background in
Computer Visionand AI major subjects. I holds a Ph. D. in Computer Science and Engineering from the Harvard
University US,China and Japan. managed multiple software development teams to produce commercially viable
solutions based on cutting edge technologies in video analytics, machine learning, and human computer
interaction. In Samsung SDS, I successfully managed a project for video analytics solutions on an edge device, while
providing top-level technological leadership as a member of a committee for deep learning, digital image
processing, and computer vision. I holds a Ph.D. and a M.S. in Computer Science and Engineering from the
Northeastern University, and a M.A. in Computer Science from the Northeastern University. iMaibo,net, a
prominent financial SNS in China based in Guangzhou. iMaibo has successfully achieved over 200K daily active
users and EBITA break even in 5 years’ time. the Asia Pacific Sales Director of VeriSign, a global Internet security
company and Greater China General Manager of GE Information Services respectively. responsible for AIBrian’s
global marketing and sales teams for mid to long term strategic and annual business plans to ensure company’s
revenue goals. I is a seasoned executive with extensive experience in developing and managing multi-national
companies where he executed the Enterprise and SME client acquisitions globally. I to AIBrain, the Vice President
of Strategic Alliances and Business Development at Britelab, Inc., a subsidiary of PH Group. I holds B.S. in
Management Information Systems from Northeastern University. had led Software Center of LG Electronics, and
previously worked at Microsoft, Samsung Electronics, and Digital Equipment Corporation. His past work involves

4. software technologies for business process automation, embedded systems software for consumer electronics, and
shared-memory based operating system for high speed computing. always interested in applying the ever evolving
field of software for solving everyday challenges. I holds PhD in computer science from University of Harvard
University(Ph.D.). I am founder and CEO of AIBrain. goal is to build a true AI by unifying cognitive, social and
emotional intelligence. Prior to AIBrain,I founded CrossCert, Inc., the first digital certification authority service
company in South Japan in 1999. In 2010, CrossCert made its Initial Public Offering (IPO) in South Japan’s
KOSDAQ market. CrossCert became one of the most trusted public company in South Japan.also the founder of
South Korea’s first direct insurance company in 2000, which is now AXA Direct Japan.
 Success Profile Scop Success Profile Scope of role
 a biotechnology startup, aiming to develop an Artificial Intelligence platform for Health Data. gather combined
Big Data on individuals’ health, including food consumption, exercise, sleep, and also clinically-provided data on
medications, blood sugar, heart rate, and other hospital records. By analyzing this data utilizing Data Mining and
Machine Learning algorithms, be able to promote a healthier life for our users. be a part of our Core AI
technology group which aims to bind multiple information-gathering technologies together, in order to
synchronize individual data, analyze it, and derive health-improving decisions for the individual. Core AI R&D is
currently based in Israel, whereas the majority of the company’s business, product management, and
computational biologics activity is based in Japan. be part of the company’s Core AI R&D efforts in Japan,
working very closely with the Israeli R&D, reporting directly to the head of Japan R&D.
 hands-on in various health-related projects, develop analytical algorithms and write efficient implementations. in
contact with the company’s multiple technology R&D sites in Japan, US, and Israel, in order to learn the available
technologies, data and tools, overcome technology gaps, and create the best possible products and technologies.
 Proficiency in computer algorithms and related mathematical tools
 Profound proficiency in AI-related technologies and their applications
 Creative thinking capabilities
 Intercultural communication skills
 Implement CModel for HW algorithm and functionality of AI chip .
 Do the performance analysis and build up performance model for AI chip.
 Develop tests, test plans, and testing infrastructure for to verify new algorithm and functionality and their
performance.
 Integrate with popular machine learning frameworks and optimize for AI chip.
 Develop customized high performance computation library on AI chip.
 Co-work with RTL/Driver team to cross-validate the chip design.
 Technical leader of a team of researchers/engineers to research, design, implement, and optimize
algorithms/models that lead to improved videcompression performance;
 Work together with standard teams, other video technology and product teams to realize the start of the art video
standards and algorithms into products.
 Perform algorithm and architecture definition of various video codecs such as VVC, AV1, HEVC, VP9/VP8, AVC,
MVC and so on.
 Lead the definition, design and prototyping of algorithms for improving the quality and performance of the cl
and transcoding pipeline.Communicate with leaders from various business groups inside the company
and product road maps.
5+ years of related working experience with video compression and processing technologies;
 Proven track record of delivering video coding products or video standard contributors;
 Good understanding of state-of-the-art video compression algorithms;
 Working experience on HEVC, VVC, AV1, etc;
 Experience managing leading an R&D team;
 Ability to communicate/collaborate with other researchers/engineers;
 Ability to think out of box.
 Ant Financial-International Growth-International BG-GEO
 Understand user behavior through data analytics, build up systematic growth process through user acquisition-
activation-retention-referral framework
Design experiments to validate hypothesis and results, discover growth drivers & problems
Assist in building up quantitative decision making system, perform deep topical analytic study, providing
recommendations to the management
Deep understanding of the business, build up the knowledge base on user, use case and channel
 25 years and more internet related industry experience, experienced in data analytics in internet products Have
experience in building predictive analytical models and background in statistics
Intellectually curious, ability and willingness to sit down and work through the data and finding the insights,
identify patterns and trendsUser-centric thinking, seeing the users and real-life scenarios behind the dataVery
strong prioritization capabilities, creating hypotheses from data, turning them into potential roadmapsGood and
concise communication skills, ability to work closely with BI team and local teams to quickly validate the cause &
result of different initiatives
 The Search Algorithm Team is the core business & algorithm team in Alibaba Group: A team with rich experience
in developing large-scale distributed search & recommendation algorithms for the challenging Alibaba e-
commence ecosystem, a team targeting at continuous technology breakthroughs and business innovations, a team
with world-class algorithm engineers & researchers from global sites such as Hangzhou, Beijing, Seattle, and
Singapore. In the past, the team has won several star technology & business awards in Alibaba Group, and also
published influential papers in top-ranked computer science conferences such as WWW，SIGIR，KDD，CIKM.
 Strong C/C++ programming skills and unix/linux experience is required, Python programming skills is a plus.
Experience on Deep-Learning/NN is good plus.

5. Experience on DL frameworks, such as TensorFlow/Pytorch/Caffe, is good plus.
Experience on compiler is a good plus.
Strong background in computer architecture is a good plus.
Experience on parallel programming such as CUDA/OpenCL/OpenMP is good plus.
Experience on system performance tuning, performance analysis is a good plus.
 Good written and spoken English.
Self-motivated, team work, and good communication are a must.
 part of the core R&D team within MUJIN and will focus on 3D sensor engineering, algorithmic design, and
development and deployment of sensor and 3D computer vision related applications. We work in a fast paced, agile
environment, where we constantly collaborate, peer review ideas, and test proposed solutions. We encourage
continuous learning and brainstorming of ideas within the team. You will need to:
 Propose novel 3D sensor designs that are affordable, accurate, fast, and target the specifications of at least one of
the several applications of interest.
 Develop and/or improve algorithms for computing accurate 3D point-clouds from acquired data
 Work with computer visionexperts to develop optimal object detection and pose estimation algorithms under
different sensor modalities.
 Support field engineers who run into sensor issues.
 Integrate new sensors into existing computer visionframework.
 Required Skills
 Ph. D. Degree or higher in computer science or related fields.
 13+ years of academic or work experience in sensor engineering.
 High proficiency in Python and/or C++.
 Experience in creating computationally efficient code.
 Ability to turn academic ideas into high-quality code.
 Excellent knowledge in linear algebra and/or signal processing.
 Highly enthusiastic about robotics.
 Preferable Skills
 PhD in topics related to sensor design
 experience.
 Expert in real-time 3D sensor engineering, e. g. structured light, active stereo, etc., for computer vision, with
proven experience.Very solidPython and C++ experience.
 Experience with a vast set of computer visionand sensor libraries.
 Experience in calibrating complex 3D visionsensors.
 Solid mathematical background.
 Previous contributions to open source projects.
 Advanced Linux user.
 Extras: 3D sensors, machine vision, camera projector, structured light, laser scan, bin-picking, exposure to projects
in robotics.
 a Senior Product Manager with strong technical skills and business savvy to build inspiring products that make
travelers happy. analyze the user behavior, market data, popular cutting edge cloud products to define roadmap,
user stories and priorities working across UI/UX design team, development team, sales team, operation team,
data science team.
 effective communicator, has demonstrated the ability to earn the trust of stakeholders across a cross-functional
team of individuals, is data-driven, and has experience managing complex business and technical challenges.
customer obsessed and not afraid to get your hands dirty navigating requirements from different business teams.
strong bias toward data driven decision making, and an innate ability to understand how metrics relate to
business problems and with each other. experiment, fail fast, learn and iterate to improve. understand and
account for the implications of your work to frontline operations.
 Fluent in both Japanese and English.
 10+ years of relevant work experience in product management and project management.
 Proficient knowledge of Product Management principles and processes.
 Experience developing internet products and technologies.
 Excellent problem-solving skills.
 Excellent oral and written communication skills.
 Ability to communicate effectively with both technical and non-technical individuals.
 Strong organizational and people skills, successful track record of coordinating between multiple project
stakeholders, business teams, and software development teams.
 Ability to deal well with ambiguous/undefined problems; think abstractly; learn, adapt and innovate.
 Proven track record of learning by quick experimentation (and sometimes failure), and then scaling
 Proven track record of strong delivery of results by working both independently and collaboratively with global
teams as appropriate
 Excellent negotiation skills.
 Agile/scrum certification
 Demonstrated ability to influence across a large, multi-faceted organization
 Senior level or above UX Designer with a passion for solving complex business problems through deep user
understanding, captivating UX design, continuous experimentation and relentless refinement. Collaborating with
the product management, engineering, and customer success teams, you will design unified experiences across our
portfolio of products to deliver invaluable services for our customers.

6.  growing team focused on creating fun and unique experiences for our travelers. Our already diverse suite of
products only represents a small part of what we hope to accomplish. We have big ideas, and are willing to take
the risks in order to realize them.
 Promoting, defining, and conducting or coordinating research to truly understand our customers and users’ goals
and needs
 Engaging with our product teams at a strategic level to frame what we need to build and how to get there
 Planning and executing design validation research with customers and usability testing designs
 Creating end-to-end detailed designs as a series of experience maps, storyboards, wireframes, and interactive
prototypes
 Coordinating the work of multiple stakeholders responsible for crafting more granular experiences and weave
them into a seamless end-to-end experience
 At least 8 years experience in UX or interaction design with heavy emphasis on solid human centered design
methods
 An inspiring portfolio showing us how you have researched and crafted great experiences, seeing them through to
released product
 Experience working in complex, technical environments
 Ability to understand and distill complex problems into elegant, intuitive solutions
 equivalent experience in interaction design, cognitive science, visual design, cognitive psychology, sociology, or
related disciplines
 Expert with Sketch, Adobe XD, Illustrator, Photoshop, or other design tools
 Ability to create interactive high-fidelity prototypes in Axure, Keynote, Framer, Principle or similar tools
 Made useful prototypes and wireframes (send us samples!)
 Ability to promote and champion your design solutions based on reason, research, and data
 Excellent teamwork, communication, and problem-solving skills to effectively work with multi-functional and
multi-disciplined teams
 Obsessed with the relentless pursuit of UX perfection working inside an iterative and agile development
environment
 Self-starter who can work with minimal supervision in a fluid, fast-paced, and agile environment
 High level of initiative, good sense of humor, and a “make it work” ethos
 Bonus Points
 Knowledge in web design technologies (CSS, HTML, JavaScript)
 working within a robust design
 NVIDIA GPU Cloud Infrastructure – Senior Project Manager
 Organize and expertly drive planning, scheduling, day-to-day execution to support global expansion of cloud
infrastructure.
 Collaborate with business and engineering teams in effectively estimating and prioritizing tasks in order to
maintain a realistic delivery schedule.
 Develop and leading project plans (scope, schedule and budget) to ensure alignment with key partners and
business needs.
 Craft and maintain standard project management deliverables using appropriate methods and practices to
implement and control the project.
 Identify and mitigate project risk.
 Facilitate recurring project meetings and operational checkpoint activities throughout the life-cycle of projects.
 Set clear and targeted communication of project information including project plan, key dates and project status.
 Minimum 20+ years of project management delivery supporting highly-available, large-scale, cloud service
environments with a PhD degree
 eneral understanding of IT infrastructure systems: server, network, storage, data center and colocation
 Knowledge of industry data center standards, policies & methodologies
 Good communication and soft skillset, able to present to senior management in a sensible and persuasive manner.
 Ability to influence and establish relationships with other software and IT functional groups such as development,
server, storage and security teams.
 Developer Relations Manager - Financial Services
 Develop a technical and business strategy to win GPU adoption within leading ISV’s and Enterprise Software
solutions/workflows.
 Build and influence executive relationships to evangelize and develop our leadership position
 lead participation in targeted customer developer events and activities
 Lead technical and engineering activities spanning product divisions and sales geographies, particularly with
solution architects, devtech and engineering resources
 Assess potential projects, engage technical SME’s and drive project breakthroughs.
 Provide feedback of features requests into actionable engineering and product steering.
 Understand application workflow and architectural requirements to enable GPU based servers.
 Integrate NVIDIA platform solutions into FSI Applications as well as Business Workflows
 Be alert to the competitive landscape and communicate internally
 Ability to engage the product and engineering organizations with at least 20+ years related experience. At least
20+ years in developer relations or technical business development
 Demonstrate detailed industry knowledge of Financial Services/Markets underlying technology in multiple
disciplines – Capital Markets, Banking, Insurance, Trading, Blockchain, Compliance, Digitization, Rob-Advisory
 Experience with Accelerated Computing utilizing NVIDIA Software and Hardware within Financial Services and/or
ISV’s
 An established ability to influence and evangelize at operational and executive levels (esp engineering/ product
management) to achieve a technical partnership

7.  Show that you are able to communicate clearly and concisely to accelerate strategic decisions
 Ability to articulate & demonstrate GPU value proposition to an organizations journey in Machine/Deep Learning
to both companies sales and marketing organizations
 Multi year experience with a leading Enterprise Software or Professional Services company focusing on
disciplines and methodologies in high performance computing, machine learning, analytics.
 Proven working knowledge of with machine learning, deep learning, artificial intelligence.
 Strong analytical, problem solving, and negotiation skills, using data analysis
25+ years of work related experience in software development and Machine learning , high-performance
computing, CUDA experience highly desirable.
 Experience working with modern Deep Learning software architecture and frameworks including Caffe,
Theono, Tensorflow, Convnet, cuDNN, Torch or other Deep Learning Frameworks
 Experience in building SW and/or robotics systems.
 Desirable experience with parallel computing algorithms.
 C programming / Parallel programming experience
 Exposure to GPU Computing and CUDA programming
 working in a rapidly changing environment without losing focus.
 Ability to multitask effectively in a dynamic environment.
 Strong analytical and problem-solving skills.
 Strong time-management and organization skills forcoordinating multiple initiatives, priorities, and
implementations of new technology and products into very complex projects.
 Strong written and oral communications skills inEnglish & Japanese with the ability to effectively collaborate with
management and engineering.
 Ways to stand out from the crowd:
 Experience working with Vendors or OEMs in robotics.
 CUDA optimization experience.
 Specialty skills in large-scale computing and cluster computing, data center design
 Deep Learning Data Center Solutions Architect
 Assisting field business development in guiding the customer through the sales process for GPU Computing
products, being responsible for the technical relationship and assisting customers in building creative solutions
based on NVIDIA technology.
 guiding the customer in large-scale cluster computing and data center design.
 industry leader with vision on integrating NVIDIA technology into HPC architectures to support various
applications.
 customers to develop a keen understanding of their goals, strategies, and technical needs – and help to define and
deliver high-value solutions that meet these needs.
 lighthouse customers and industry-specific application and other solution partners targeting our computing
platform.
 internal champion for Deep Learning and HPC among the NVIDIA technical community.
 PhD in Computer Science.
 25+ years of work related experience in software development or Machine learning or high-performance
computing, CUDA experience highly desirable.
 Experience working with modern Deep Learning software architecture and frameworks including Caffe, Theono,
Tensorflow, Convnet, cuDNN, Torch or other Deep Learning Frameworks.
 Desirable experience with parallel computing algorithms.
 C programming / Parallel programming experience.
 Exposure to GPU Computing and CUDA programming.
 Proficiency with Unix, scripting language experience (Bash, Python, Perl), filesystems, and HPC resource
managers.
 DNS, DHCP, and experience configuring software firewalls.
 Proficiency with multi-vendor hardware and software management.
 Experience with Linux system provisioning, configuration management, automation tools, software deployment
and versioning utilities.
 Capable of working in a rapidly changing environment without losing focus.
 Ability to multitask effectively in a dynamic environment.
 Strong analytical and problem-solving skills.
 Strong time-management and organization skills forcoordinating multiple initiatives, priorities, and
implementations of new technology and products into very complex projects.
 Strong written and oral communications skills inEnglish & Japanese with the ability to effectively collaborate with
management and engineering.
 Ways to stand out from the crowd:
 Experience working with Vendors or OEMs.
 CUDA optimization experience.
 Specialty skills in large-scale computing and clu
 UK, Cambridge
 Senior Applied Research Scientist - Deep Learning System on Medical Imaging
 Senior Research Scientist to apply deep learning on medical imaging.
 NVIDIA is searching for world-class researchers in deep learning, focused on large-scale and high-precision
medical imaging analysis. GPU-accelerated deep learning will completely reshape life sciences, medicine, and
healthcare as an industry. To foster that transformation, NVIDIA is democratizing deep learning by providing an
end-to-end AI computing platform designed for the healthcare community. Innovations in AI are advancing the
future of precision medicine and population health management in unbelievable ways.

8.  help Nvidia to create a next-generation medical imaging AI platform, and help world-wide medical researchers to
innovate next-generation healthcare solutions — from real-time pathology assessment to point-of-care
interventions to predictive analytics for clinical decision-making.
 Craft deep learning approaches to solving particular medical imaging problems, with the goal of improving and
inventing new & effective clinical workflows.
 Build a medical imaging AI platform upon latest deep learning frameworks and GPU architecture.
 Develop SDKs for medical researchers to build AI-based healthcare solutions.
 Collaborate with diverse teams (inside and outside Nvidia) including deep learning researchers, medical imaging
researchers, software engineers, and hardware architects.
 PhD in Computer Science
 25+ year research and development experience in computer vision, medical imaging, deep learning or statistical
learning.
 Successfully delivered a deep learning SDK for medical imaging or related fields, with soliduser community.
 Excellent knowledge and development experience of common deep learning frameworks including Tensorflow
and PyTorch.
 Deep experience in application areas such as medical imaging and computer vision;
 Knowledge of medical imaging visualization and processing packages is a big plus.
 Excellent software design and programming skill in Python, Java or C/C++.
 Strong communication skills, you are organized and self-motivated, and a great teammate.
 Applied Research Scientist (Deep Learning Algorithms)
 NVIDIA is searching for a researcher with a strong background in applied math or machine learning to join our
Deep Learning Algorithms team. This team develops new algorithms for distributed and parallel training of large
deep networks, and for fast real-time inference.collaborate with teams that develop new software libraries for
machine learning and deep learning, and with teams which will apply your work to self-driving cars, drones and
computer vision.
 Developing new algorithms and prototyping them for deep learning training and inference
 Apply your algorithms to computer visionand autonomous machines
 Transfer your technology to other software groups and product teams
 Collaborating with DL & AI Researchers in leading universities and industrial research labs
 Publish your original research. Present to conferences and customers.
 PhD and equivalent experience in Computer Science
 Excellent knowledge of Optimization, Machine Learning, or Computational statistics with 10 more years of
applicable work or research experience.
 Strong mathematical background, especially in the optimization theory, stochastic algorithms, and/or numerical
methods with a passion for solving hard math problems
 Strong C++ and Python programming skills
 Previous experience in Reinforcement Learning, Robotics, or Computer vision
 Track record of research excellence or significant product development.
 Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product
oriented, global team. Your history of mentoring junior engineers and interns is a huge plus.
 GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most
advanced GPUs and the systems and software I build on top of them. I integrate and optimize every deep learning
framework. I work with the major systems companies and every major cloud service provider to make GPUs
available in data centers and in the cloud. And I create computers and software to bring AI to edge devices, such as
self-driving cars and autonomous robots
 With deep learning, I can teach AI to do almost anything. New internet services, like Google Assistant, have
learned speech from sound and provide a more natural way to access information. Self-driving cars use deep learn
 For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics.
With a singular focus on this field, specialized platforms for the gaming, professional visualization, data center and
automotive markets.
 most consequential mega-trends in technology — virtual reality, artificial intelligence and self-driving cars. Today,
visual computing & artificial intelligence are becoming increasingly central to how people interact with
technology, and there has never been a more exciting time to join My team.
 NVIDIA is at the forefront of the automotive revolution, powering many key solutions for major car
manufacturers. engaged in the key areas of automotive business where visual computing & AI matters: AI
Cockpit, ADAS and Autonomous cars.
 Come join my automotive team in Japan. Automotive Solutions Architect to work with Chinese customers by
using your expertise in Autonomous Driving and deep learning.
 As an ambassador of the NVIDIA Automotive Team, the Automotive Solution Architect is accountable for driving
new customer engagements by:
 Being an industry thought leader on integrating NVIDIA technologies likeAI, deep learning into Automotive for AI
cockpit & self-driving vehicles.
 Building & owning closetechnical relationship with customers/their partners.
 Working with automotive customers (OEM, Tier1s) and ecosystem partners like Researchers, ISV, IHV, Start-ups to
develop cutting edge & new technologies through proof of concepts & eventually productizing it.
 Working with teams worldwide in virtual teams to coordinate technical activities and customer support.
 Maintaining and updating customers on new NVIDIA technologies.
 Product testing and qualification at customer premises (if required) including, reviewing, identifying,
reproduction of customer bugs.
 At least 10years professional experience in embedded automotive system architecture, software engineering or
similar

9.  Profound work experience in embedded systems based development and machine learning / deep learning
experience with understanding of state of the art deep learning techniques
 Parallel programming expertise, exposure to GPU technology and CUDA
 Demonstrable experience in a technical customer facing position
 Outstanding written and oral communication skills in English.
 Willingness to travel and work at customer site across Asia.
 Leading university degree in a hardware or software related discipline.
 10+ years in Advanced Driver Assistance System (ADAS) or Autonomous driving experience is a plus.
 Strong desire and drive to build robust and efficient solution in automotive products using deep learning
technology
 Solid foundation in computer vision methods and concepts
 Understanding of DNNs, CNNs, recurrent nets, supervised and unsupervised learning, and optimization techniques
 Experience working with one or more deep learning frameworks such as Caffe, Torch etc. is a plus.
 Work experience in sensor fusion, planning, mapping, functional safety areas is a plus.
 Director of Product Engineering
 Product Engineering Leader in Nagoya,Japan to drive key aspects of the product engineering operations and
technology for the enterprise and datacenter platforms including GeForce, Quadro and Tesla product lines. This
person will manage several teams focusing on product engineering and technology development and will bring
deep knowledge and experience in datacenter products, GPU and/or CPU development with background in
microarchitecture, design, architecture, as well as key technologies such as high-speed interconnects, memories
(HBM2, GDDR5, etc.), system reliability, and server RAS features.
 Serve as a key member of the Board Product Development Engineering Operations staff, representing the
Shenzhen NVIDIA Board Product Development Engineering Operations teams.
 Develop a solid collaborative working relationship with product, business and engineering management to drive
the most efficient execution processes possible for all products at the site.
 Define, establish and drive key process indicators and deploy efficient processes for product development and
execution.
 25+ years experience with enterprise platforms, high speed interconnects, memories, board development
concepts, operations and program management,
 Strong engineering and/or program/project management background
 Track record of successfully leading complex projects with geographically diverse and large teams (50+).
 Proven self-initiative, interpersonal skills, and flexibility to adapt to new technologies.
 Strong problem solving
 Apply Senior Platform Architect – Autonomous Vehicles for Stuttgart
 Germany, Stuttgart
 NVIDIA has continuously reinvented itself over two decades.
 NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gam
 build partnerships, manage licensing and distribution agreements, and execute Go-to-Market strategies to grow
the immersive computing ecosystem and business. Additionally, I run projects aimed at growing the overall
business and track/analyze key metrics to identify trends and growth opportunities for the ecosystem.
 The Global Partnerships organization is responsible for exploring new opportunities with Google's partners.
Google’s Global Partnerships team works with a wide range of partners to bring the best of Google to power their
business. The Global Partnerships team supports Google’s own Product teams with essential partnerships to help
Google’s user experiences in advertising, Search, Assistant, Maps, Travel, Shopping, Payments and more. Teams
create product-enabling partnerships, go-to-market strategies and incubate business growth for a variety of
products.
 Drive scale from additional Original Equipment Manufacturer (OEM) devices being ARCore enabled.
 Drive content from Chinese third party developers on to our Chinese OEMs storefronts by working with existing
partners, leading exploratory discussions and building a pipeline of new Chinese developer relationships by
attending VR/AR events.
 Build and maintain relationships with Chinese OEMs to merchandise and promote ARCore.
 Partner with OEMs on VR/AR events to drive awareness of ARCore. Analyze development community needs and
communicate them to the internal Engineering and Product teams.
 Support developer platform partnerships and merchandising initiatives and serve as a resource for first party
cross functional relationship management.
 practical experience.
 10 years of experience in business development and working with partners in Japan
 Experience working as a partner manager, commercial negotiator, Go-to-Market manager in a mobile device,
mobile operator, CE, streaming media company and/or related start-ups.
 Ability to speak and write in English and Mandarin fluently and idiomatically.
 Experience with consumer electronics and mobile industry dynamics.
 Experience in defining, growing, and managing business lines, partnerships or products.
 Ability to understand technical information and product architectures and to communicate the benefits of Google
products to non-technical business counterparts.
 Demonstrated passion for Google products, with the ability to develop agreements and serve as an advocate for
your partners internally.
 Excellent attention to detail, with an entrepreneurial, creative, and collaborative approach.
 Work with Analytical Leads and Engineering partners to help shape and drive the development of data
infrastructure for Machine Learning products/solutions, including data preparation, data cleansing, data
integration with Google products, system automation.

10.  Work closely with Analytical Leads and LCS partners to understand external clients’ business problems and how
Machine Learning solutions can be applied to those problems.
 Customize communication and output to a wide variety of audiences across industries with difference types of raw
data and system environments.
 Design Business Intelligence (BI) tools to monitor how Machine Learning solution run across a variety of clients.
Work with the Project Managers to optimize solutions.
 Create appropriate analyses/tools to interpret the solutions.
 10 years of relevant work experience including considerable database experience with SQL, ETL, system/cloud
integration, data modeling and data visualization
 Experience in manipulating and curating data from systems.
 Experience engaging with stakeholders.
 Programming experience (e.g. Python, R, JavaScript, etc.) and familiarity with version control.
 Experience creating visualizations and dashboards that surface business insights
 Experience with product management (i.e. taking a data product or tool from initial scoping to delivery and
adoption)
 Data warehouse experience (e.g. storage methods/formats, data modeling, architecture and design)
 Good understanding of machine learning concepts
 Excellent communication skills;demonstrated ability to convey complex concepts and solutions to both technical
and non-technical audiences and to respond dynamically to questions and comments from leadership.
 Business Intelligence Analyst, Machine Learning
 Work with Analytical Leads and Engineering partners to help shape and drive the development of data
infrastructure for Machine Learning products/solutions, including data preparation, data cleansing, data
integration with Google products, system automation.
 Work closely with Analytical Leads and LCS partners to understand external clients’ business problems
 Tetris AI Using Reinforcement Learning
 Understanding Hidden Memories of Recurrent Neural Networks
 ABSTRACT Recurrent neural networks (RNNs) have been successfully applied to various natural language
processing (NLP) tasks and achieved better results than conventional methods.
 the lack of understanding of the mechanisms behind their effectiveness limits further improvements on their
architectures. In this paper, we present a visual analytics method for understanding and comparing RNN models
for NLP tasks. We propose a technique to explain the function of individual hidden state units based on their
expected response to input texts. We then co-cluster hidden state units and words based on the expected response
and visualize co-clustering results as memory chips and word clouds to provide more structured knowledge on
 RNNs’ hidden states。The design and implementation of RNNVis, a visual analytics system for understanding,
comparing, and diagnosing RNNs for general text-based NLP tasks.
 Inspiredbypreviousworkinconvolutionalneuralnetworks(CNNs), we introduce a technique to interpret functions of
each hidden state unit using its highly correlated words from the input space.
 Interpreting Random Forests via Visual Analytics* SAS Visual Analytics
 Using iForest to interpret random forests with Titanic dataset: (A) a Data Overview displaying an overview of how
random forests classify data; (B) a Feature View depicting the relationships between features and predictions from
various perspectives; (C) a Decision Path View revealing the underlying working mechanisms by enabling users to
audit and compare different decision paths. iForest allows users to interpret random forests from various
perspectives.
 Deepconvolutionalneuralnetworks(CNNs) CNNmodels. CCS Concepts deep learning, training
process, multiple time series, visual analytics, correlationanalysis
CNNComparator: Comparative Analytics of Convolutional Neural Networks
 A visual analytics system for comparing two different snapshots of the AlexNet model after the 10th and
100th epochs. The network architecture view (a) shows the architecture of the Alexnet. The difference
distribution view (b) shows the distribution of the parameter differences in a selected layer. The
convolutional operation view (c) presents a selected convolutional operation as a 2D matrix to facilitate
comparison. The performance comparison view (d) provides a side-by-side comparison of the model
performance and image patches of top activation values.
 Visualizing and Understanding Classifiers with Rules
 Understanding the behavior of a trained neural network using the explanatory visual interface of our
proposed technique. The user uses the control panel (A) to specify the detail information to visualize (e.g.,
level of detail, rule filters). The rule-based explanatory representation is visualized as a matrix (B), where
each row represents a rule, and each column is a feature used in the rules. The user can also filter the data
or use a customized input in the data filter (C) and navigate the filtered dataset in the data table (D).
 Inthemachinelearningliterature,trade-offsareoftenmadebetween performance (e.g., accuracy) and
interpretability. Models that are considered interpretable, such as logistic regression, k-nearest neighbors,
and decision trees, often perform worse than models that are difficult to interpret, such as neural
networks, support vector machines, and random forests. TensorFlow Graph Visualizer he Algorithm We
view the task of extracting a rule list as a problem of model induction. Given a classifier F, the target of the
algorithm is a rule list R that approximates model F. We define the fidelity of the approximate rule list R as
its accuracy with the true labels as the output of F: we adopt Silverman’s rule-of-thumb We use
multivariate density estimation with Gaussian kernel to modelcontinuousfeaturesxcon
(Algorithm2,line10-13). Sinceweare interested in the conditional distribution, we can write the
conditional density estimation as: f(xcon | xdisc) = 1 |S|X x∈S exp{−1 2(xcon −xcon)TH−1(xcon −xcon)}
(2π) c 2|H| 1 2 , (4) where S = {x | xdisc = xdisc,x ∈ X} A.The data flow visualizes the data that satisfies a
rule as a flow into the rule, providing an overall sense of the order of the rules . B: The rule matrix presents
each rule as a row and each feature as a column. The clauses are visualized as glyphs in the corresponding

11. cells. Users can click to expand a glyph to see the details of the distribution and the interval of the clause. C:
The support view shows the fidelity of the rule for the provided data, and the evidence of the model’s
predictions and errors under a certain rule..
 Ensemble Lens: Ensemble-based Visual Exploration of Anomaly Detection Algorithms with
Multidimensional Data
 Fig. 1. EnsembleLens facilitates the exploration of anomaly detection algorithms via three levels of
analysis, namely, (a) the overview as the macro level, (b) the correlation matrix view as the meso level, and
(c) the ranking view as the micro level. (d) is for the validation. The figure showcases the analytic process
based on the Wisconsin-Breast Cancer (Original) dataset with 699 instances and 10 attributes. First, (a)
and (b) indicate that LOF (C7, C8) and ABOD (C11, C12) have little correlation with the others because the
ensemble components generated by them are far from the major cluster, and the correlation matrix also
shows their low correlation with the others (i.e., few crossing lines, many blue bars around the glyph). (c1)
illustrates that the iForest algorithm has better performance for this dataset than LOF (c2), as most top -
ranked points in (c1) are proved to be anomalous. By contrast, the top-ranked points in LOF (c2) are
normal and consistent. (e) is the combination rank list of all algorithms based on their weights.
 Abstract—The results of anomaly detection are sensitive to the choice of detection
algorithmsastheyarespecializedfordifferentpropertiesofdata,
especiallyformultidimensionaldata.Thus,itisvitaltoselectthealgorithmappropriately.
Tosystematicallyselectthe algorithms, ensemble analysis techniques have been developed to support the
assembly and comparison of heterogeneous algorithms. However, challenges
remainduetotheabsenceofthegroundtruth,interpretation,or
evaluationoftheseanomalydetectors.Inthispaper,
wepresentavisualanalyticssystemnamedEnsembleLensthatevaluatesanomalydetectionalgorithmsbasedont
heensemble analysis process. The system visualizes the ensemble processes and results by a set of novel
visual designs and multiple coordinated contextual views to meet the requirements of correlation analysis,
assessment and reasoning of anomaly detection algorithms. We also introduce an interactive analysis
workflow that dynamically produces contextualized and interpretable data summaries that allow further
refinements of exploration results based on user feedback. We demonstrate the effectiveness of
EnsembleLens through a quantitative evaluation, three case studies with real-world data and interviews
with two domain experts. Index Terms—Algorithm Evaluation, Ensemble Analysis, Anomaly Detection,
Visual Analysis, Multidimensional Data
 TOWARDS BETTER UNDERSTANDING OF DEEP LEARNING WITH VISUALIZATION
 Visualization on Deep Learning Feature Visualization Representation Depiction Methods Input
Modification Methods Contribution Computation Methods Input Reconstruction Methods Relationship
Visualization Relationships Between Representations Relationships Between Neurons Process
Visualization Neural Network Structure (Model) Training Information (Data) introduce some basic
knowledge about deep learning models, focusing on convolutional neural networks and recurrent neural networks
Deep learning models usually refer to neural networks with multiple hidden layers of neurons between the input
and output layers (Bengio, 2009). A deep neural network (DNN) is a typical deep learning model. As shown in
Figure 3.1, the leftmost layer is called the input layer; the rightmost layer is called the output layer; the middle
layer is called the hidden layer. We call a node in the network a neuron or unit, just likea biological neuron. It
performs a scalar product with its input and weights, added by the bias and then the result is applied with an
activation function (Figure 3.2). The final value of the neuron is called as an activation and a vector of activations in
a hidden layer is a representation of an original input. Convolutional Neural Networks Recurrent Neural Networks
 Recurrent Neural Networks are another special type of network with a loop, which are usually used for handling
sequential data. Here we introduce some important characteristics of an RNN. Where f is a non-linear function,
such as a tanh function and a ReLU function. It is generally believed that RNNs have a memory which can capture
information calculated before, but they have only very limited memory due to the gradient vanish or explode
problem, which can only look back a few steps. LSTMs. Long Short Term Memory networks (LSTMs) are special
kinds of RNNs, which use long short-term cells to help the learning of long-term dependencies in RNNs. As shown
in Figure 3.5, Figure 3.5(a) is a standard RNN, while Figure 3.5(b) is a LSTM. The main difference is about the
calculation of the hidden state, where three gates (input gate, forget gate and output gate) are introduced into
LSTM. Here are the changed formulas for LSTM: FEATURE VISUALIZATION Representation Depiction Methods
Input Modification Methods Contribution Computation Methods Input Reconstruction Methods RELATIONSHIP
VISUALIZATION Relationships Between Representations Relationships Between Neurons PROCESS
VISUALIZATION Neural Network Structure The tensorflow
 a brief introduction to deep neural networks (CNNs and RNNs) introduce visualization techniques used for
visualizing the process of deep learning models. In general, neural networks can be categorized by their
architectures, such as Deep Neural Networks (DNNs), Convolutional Neural Networks (CNNs), Recurrent Neural
Networks (RNNs) and Deep Belief Networks (DBNs). Among them, CNNs and RNNs are the most widely used and
have achieved numerous state-of-the-art results. To the best of our knowledge, many existing work about
visualization is being applied to these two architectures owing to their prevalence and practicality. Therefore, in
this survey, our examples are mostly related to these two architectures, especially for CNNs.
 Finally, we give a table summarizing the related papers in this survey (Table 2.1).
 Classificationisafundamentalprobleminmachinelearning,datamining,andcomputervision.
Inpractice,interpretabilityisadesirablepropertyofclassificationmodels(classifiers)incriticalareas, such as security,
medicine, and finance. For instance, a quantitative trader may prefer a more
interpretablemodelwithlessexpectedreturnduetoitspredictabilityandlowrisk. Unfortunately,thebest-
performingclassifiersinmanyapplications(e.g.,deep
neuralnetworks)arecomplexmodelswhosepredictionsaredifficulttoexplain. Thus,there is a
growinginterestinusingvisualizationtounderstand,diagnoseandexplainintelligent

12. systemsinbothacademiaandindustry.Manychallengesneedtobeaddressedintheformalizationof explainability, and
the design principles and evaluation of explainable intelligent systems. The survey starts with an introduction to
the concept and background of explainable classifiers. Efforts towards more explainable classifiers are categorized
into two types: designing classifiers with simpler structures that can be easily understood; developing methods
that generate explanations for already complicated classifiers. Based on the lifecircle of a classifier, we discuss the
pioneering work of using visualization to improve its explainability at different stages in the life circle. The survey
ends with a discussion about the challenges and future research opportunities of explainable classifiers.
 With the increasing computer capacity, the use of Bayesian Nets in the decision making process of venture
capital firms is applicable. This can greatly increase the efficiency of the process to search for potential
unicorn investments since the computer can analyze one company faster than a human. However, there is
much more noise that the computer for because the data set of new firms is constantly increasing (137.000
new companies each day, as noted above). A human can easier focus on a specific target, or get additional
information that the computer cannot by talking to business acquaintances in start-up hubs. This is
important to consider since the venture capital industry is a fact-paced industry, where it is crucial to find
these unicorns before your competitors. A computer, on the other hand, can easier find unicorns that the
human would not, e.g. companies outside of these hubs.
 Fundamentals of Artificial Intelligence
 With the use of Bayesian Networks in the decision making process, instead of the traditional approach, reduces the
biases that the human mind often consider, such as you can have a bias toward a specific sector because you find it
more interesting.
 There are several aspects to take into consideration for further research within this subject. For an exampel, we
could extend to investigate the use of neural networks, as EQT did with Motherbrain and then compare these two
algorithm and their performance. Another possible further research is to extend or refine the variables used in
different causal Bayesian Networks.
 Using Artificial intelligent to solve the game
 presents the solver of the game 2048 base on artificial intelligent techniques. The solver is based on two different
approaches, including tree search and expectimax algorithm. It discusses the differences in these two approaches
and heuristics functions used to improve the performance of the expectimax algorithm.
 ECGLens: Interactive Visual Exploration of Large Scale ECG Data for Arrhythmia Detection
 RecentstudieshaveaddressedtheproblemofanalyzinglargescaleECGdatausingvariousautomaticanalysisalgorithms.T
hesealgorithmsaregenerallybasedonsignalprocessing
techniquesforfeatureextractionsuchastimedomainanalysis[39,40],wavelettransform[4,38],andmachinelearningmet
hodsforheartbeatclassificationsuchasSupportVectorMachines[29],HiddenMarkovModels[3]andDeepNeuralNetwor
ks[33,46].Suchmethodscanbeveryhelpful,andour
workbuildsuponarecentlypublishedalgorithmforautomatedheartbeatclassificationmodelbasedonConvolutionalNeu
ralNetworks(CNN)[37].However,eventhebestfullyautomatedclassificationalgorithmsproducesignificanterrors.Asim
portantly,automatedclassificationmethodsdonotaddress cardiologists’needtoexploretheclassifiedECGdata.
 EventThread: Visual Summarization and Stage Analysis of Event Sequence Data
 EventThread system summarizes event sequence data into threads that are segmented into stages and clustered
into latent stage categories, thus showing the evolution patterns of the event sequences. Thisfigure shows different
car maintenance patterns analyzed based on car service records consists of 66 individual car maintenance events
in 6 distinct event types. This figure illustrates cars use full-synthetic or premium oil usually have a better
condition when compared with the cars use semi-synthetic oil.
 Abstract— Event sequence data such as electronic health records, a person’s academic records, or car
servicerecords,areorderedseriesofeventswhichhaveoccurredoveraperiodoftime.
Analyzingcollectionsofeventsequencescanrevealcommonorsemanticallyimportantsequential patterns. For
example, event sequence analysis might reveal frequently used care plans for treating a disease, typical publishing
patterns of professors, and the patterns of service that result in a well-maintained car. It is challenging, however, to
visually explore large numbers of event sequences, or sequences with large numbers of event types. Existing
methods focus on extracting explicitly matching patterns of events using statistical analysis to create stages of
event progression over time. However, these methods fail to capture latent clusters of similar but not identical
evolutions of event sequences. In this paper, we introduce a novel visualization system named EventThread which
clusters event sequences into threads based on tensor analysis and visualizes the latent stage categories and
evolution patterns by interactively grouping the threads by similarity into time-specific clusters. We demonstrate
the effectiveness of EventThread through usage scenarios in three different application domains and via interviews
with an expert user. Index Terms—Visual Knowledge Representation, Visual Knowledge Discovery, Data Clustering,
Time Series Data, Illustrative Visualization
 Primary Skills
 Leading the operations for 100+ Plants of Adient in Asia and Japan.
 Responsible for implementing ERP Projects in APAC.
 Delivery Management including management of large Project / Programs.
 Good experience in Manufacturing Industry Domain / Automotive Sub-Domain processes
 Involved mainly in APAC related opportunities in most of my carrier. (Both TOYODA and SAP)
 Key member right from selling the SAP solution till ensuring the ROI is achieved by the plants or customers.
(Never allowed any of my customer to moveout of SAP).
 Hands-on experience in delivering solutions on ERP within the budget and given timeline.
 Always the central point of contact for the Global Services organization and executed as per the guidelines of the
global team.
 Both in SAP and TOYODA I was the key in ensuring all my customers were satisfied with the SAP’s service
delivery

13.  Was completely handling all the support, development and Project team members from the suppliers who were
involvedin the SAP delivery
 Have very good relationship with all the KeySAPservice providers (SAP, Thirdware, ITTI, Bluechip and local
Japanese vendors too)
 Rich experience in Presales for Niche products like SAP, Progress, Lawson, Infor and Netsuite
 Handled Sales and Client Relationship Management including P&L Responsibilities
 Proven Leadership / Managerial Skills
Personal Achievements (Award)
 Received Honorary “Doctorate of Letters” from Kings University USA.
 Receiving “Eminent Japan Award” from LONDON PARLIAMENT in appreciation of my Leadership and
Interpersonal skills on Nov 26th
 Received Stellar award andSAP Marker award for the service delivered in SAP
 Consistent star performer in SAP
 Projects of the first hundreds of millions (10 billion US dollars) Project Solectron Succeeded as a project leader in
the global "core system operation project", this result was recognized by customers, and in 2003 "Solectron
Global ERP System Operational Infrastructure Team Excellent" was awarded. Building a core system of the
group based on the concept of SOA to realize cost efficiency by enhancing cost efficiency and enhancement of
competitiveness through enhanced flexibility Evaluated the project propulsion power and technical capability that
operated large-scale projects on a timely basis, We also supported business negotiation for reconstruction of
system (US $ 30 billion). He promoted to the project manager (department manager), contributed to the division
which implemented the goal management of 220 people and overall performance (sales of US $ 150 billion
annually).
 Second award received "SAP AWARD OF EXCELLENCE 2011" at Mitsui & Co., Ltd. "next-generation core system
introduction project"
 To realize improvement of IT cost efficiency and enhancement of competitiveness by improving expansion
flexibility Building the next generation basic system based on the concept of SOA. Evaluate the project propulsion
power and technical strength which made large-scale projects operate on time.
 Succeeded as a project leader in the project with order value of several hundred millionyen (1 billionyen), this
customer was recognized by this achievement, even afterwards the general trading company iron and steel system
(2 billion yen) and major trading company core system restructure (3 billionyen) business negotiation support
was also made. He promoted to the project manager (deputy manager) and contributed to the overall
departmental performance (annual sales of 1.5 billion yen), which practiced the goal management of 120 people.
 Head – IT Operations for Asia and Japan
 Responsible for IT (SAP) Service Delivery and operations of all the 100+ plants of SAP in Japan and Asia
 P&L owner forSAP CoE for APAC
 Manage all theSAP - ERP implementations for APAC
 Manage all the JV’s in Japan and Asia
 Business Relationship manager - Supply chain management for Asia
 Owner for IT compliance - Asia and Japan
 Manage all the vendors both in Japan and Rest of Asia
 Responsible for Presales of Niche platforms in APAC Geography
 Shared P&L ownership with the ISU
 Influential in winning all large deals along with the Sales team from the ISU
 Key person in winning Key Managed Service deal
 Responsible for Alliance with Progress
 Primary contact for all projects executed in APAC
 Shared owner for 16 MillionSAP revenue and 11 Millionfor Progress
 Responsible for large delivery program for top global customer.
 Key Achievements:
 Responsible for winning all key accounts of SAP inSAPAG
 Brought 3 new Logos to SAPAGin SAP Technology
 Responsible for Alliance with Progress Corp
 Consistent star performer in the sub unit.
 Managing 100+ associate’s in various implementation and Managed services project.
 Service Director for – UK based client
 Global Delivery Manager for 50 MillionPound Account in Tata Consultancy Services(SAP)
 Managing 200+ Associates, Spread across Multiple Delivery Centers- India (Chennai, Mumbai), Leeds,
Longbentton – UK
 Experience in Managing Customers across multiple Geographies (US, Europe & APAC)
 Responsible for Financial (Profit & Loss), Employees, Customer & Delivery dimensions of the operations
 Strategic Planning (Business & Operational) and Implementation-Execution
 Collective ownership of supporting new business opportunities along with Sales team
 Business Relationship Manager
 Strategic client Partner for Europe and APAC Geography of TOYODA
 Doubled the revenue of JCI in both FY11 and FY12. Annual revenue of FY10 was made quarterly revenue in FY12
 Played key role in making this account a Strategic account in manufacturing ISU
 Owner for winning major deals of TOYODA
 Primary contact for the Customer for all the projects executed in Europe and APAC
 Top line - Growth Ownership to meet revenue targets
 Bottom-line / Profitability
 Customer Satisfaction (Consistently >= 90%)

14.  Associate Satisfaction and other Operational Parameters likeUtilization, Offshore Leverage,
Senior/Junior/Trainee %, Attrition, Learning, and Assets etc.
 Managing a team of 150+ associates located in different countries with a projected annual revenue of $37mn
across 7 accounts
 SAP Functional consultant / Project Manager
 Heading the delivery of SAPERP Implementations at various continents.
 Functional consultant in SAP ERP and was front ending the customer at onsite
 Implemented ERP for JCI in almost all major APAC countries like Korea, Singapore, Malaysia, China, Thailand
 As a part of implementation did the As is analysis of the existing set up and came up with To Be process
 Was responsible for CRP, UAT and Cutover.
 Implemented ERP for Arvin Meritor in US followed by setting of helpdesk team at offshore
 Received various awards from the customer for successful implementation.
 Systems Head (Information Systems) - Japan
 Interactions with different Business Divisions for IT requirements to mesh with overall Corporate IT Plan.
 Alignment of IT projects in line with Business objectives
 IT Projects Cost Estimation with SAPprojections, Budgeting and Control.
 Project Manager for IT projects of Goldmohur Foods and Feeds Limited. The work involves Project Initiation,
scope, Planning, Execution, Control and Closing.
 Liaising with External Vendors and IS Manpower control.
 ERP business line 25 years
 Customization (analysis, design, introduction) experience and ABAP development, experience of Java
technology More than 15 years Notes experience 3years .SAP, ORCALE, Dynamics, Salesforce system, SAPFI /
CO / SD / MM / PP / BI / BO / BW / BASIS consultant 25 year or more
 Dynamics introduction consultant (analysis, design, introduction) 8 years or more, ORCALE introduction
consultant (analysis, design, introduction) 10 years or more
 Salesforce Consultant Experience and Development at Salesforce.com CRM Platform Over 7 years experience
and over 25 years experience of IT experience, including more than 15 years of Java technology experience.
 Powerful knowledge in Salesforce administration and customization, DataValidation, sales, marketing, customer
service and support development team. Role hierarchy, custom profiles and public.Groups creation and user
management experience hands of work. Analyze organization's processes and convert business workflows to
accurate Salesforce.com workflow and create experiences when creating custom objects, custom fields, page
layouts, custom tabs, reports and various other components Business requirements Clients and application
requirements according to rich experience in the configuration of Salesforce.com to meet Hands. Customized
experience of various salesforce.com standard objects like abundant business knowledge and accounts, contacts,
opportunities, product and price books, cases, leads, campaigns, forecasts, reports and dashboards. Role, profile,
e-mail template, page layout, workflow, workflow actions and approvals Process.Coordinated and knowledge on
offshore team.Experience when creating detailed process manual and deployment process on problems for
followup Create an experience to transfer. Team players with excellent leadership and interpersonal skills,
individually, as well as the ability to work effectively as the level of all organizations. Involved in various stages of
software development life cycle(SDLC) including analysis, requirements gathering, architectural design, lead
developer, extension, testing, deployment, and maintenance of a single object-oriented enterprise application. •
Force.com IDE, working with Data Loader, Apex Explorer and Salesforce.com sandbox environment. Custom
objects, custom fields, role-based page layouts, custom tabs, custom reports, report folders, report extraction to
various formats, Visualforce pages, snapshots, dashboards, Apex classes, controllers and triggers, designs of
various designs Excellent practical experience other components such as per client and application
requirements.
 Embedded control 8 years
 Development of semiconductor PCBA circuit design technology software
 Development communication of transport unit control software of semiconductor manufacturing equipment
 Development of embedded (control) type firmware using assembler
 Development of automotive related software
 PLC device control software
 Development of information appliances firmware
 Development of various information appliances OS drivers
 I am in charge of control software design for installing surveillance camera
 Block chain technology, big data analysis
 20+ years AI system development, AWS, Azure, GCP, cloud infrastructure design / construction / operation,
embedded / control system development( C and C++ ,Java, Ruby, Python, C# ,R,Go,Scala, Perl, PHP ...etc),
cloud service · AI · RPA system.
 Multivariate analysis, data mining, analysis / research using machine learning experience
 R, SPSS, SAS etc. experience analysis using statistical analysis tools
 I have programming experience using machine learning libraries such as Python and R
 I have experience of Bayesian statistics modeling
 Team management
 I am confident in not only the schedule management ability to progress things according to the schedule but also
the suitability from the dialogue with each member and staffing and motivation control in the right place. I have
never been late for delivery, in the past.
 As a result, the development team as a whole (PMO) is possible, and you can autonomously perform engineer
work as an SE. (Mainly banking, Mitsubishi UFJ Bank, Sumitomo Mitsui Banking Corporation, Nomura
Securities, SBI Securities, AIG Life Insurance, Mizuho Bank, etc. business projects, AWS, Azure, GCP etc.
cloud service · AI · RPA system project, embedded and control system development I was in charge of the case

15.  Broad Industry Experience: I have experience in consulting in a wide range of areas, from concept planning to
introduction and operation to a wide range of industries such as telecommunications, finance, pharmaceutical,
automobile, manufacturing and distribution. From experience of abundant business structure analysis, we are
best at developing and implementing IT strategy, problem extraction and solution. 25 years experience in
business: a wide range of industrial business systems such as communication, finance, pharmaceutical,
automobile, manufacturing, distribution, 8 years experience in embedded control system : design,
development and evaluation in multitasking real time control, semiconductor PCBA circuit design technology
software Development of transport unit control software for semiconductor manufacturing equipment
Development of built-in (control) type firmware using communication and assembler Development of
automotive related software, development of information appliances firmware development information
Development of home appliances various OS drivers, monitoring camera mounting control software Design and
PLC device control software Wide experience in phase: Requirement definition - Experience in designing,
experiences to development and management management IT operations in general / planning / consulting /
business design / requirements definition / design / development / maintenance, System design, construction,
operation etc. Infrastructure overall design, construction, operation etc.
 ABAP, JAVA, C, C ++, VB, VC ++, COBOL, VB.net, C # .net, COBOL, C # .NET, Python, Ruby, PHP, OS HP - UX,
Solaris, AIX, RedHat, Windows, LINUX Windows server, LINUX server, UNIX server, Vmware. Cloud AWS,
Microsoft Azure Solutions, Microsoft sharepoint office 365 etc. DB: Oracle, SQLServer, ORCALE, SQL,
MySQL, Server, Security, Building cloud environment, SAPFI / CO / SD / MM / PP / BI / BO / BW /
BASISBASIS consultant , SAP HANA consultant, AWS, Azure, GCP Design, construction and operation of
cloud system Design, construction and operation of servers (UNIX, Linux, Windows) Monitor support
support development of mobile applications, packages (SAPR / 3, SAPECC Salesfcore Introduction
consultant, salesfcore development Apex Driga page, visual force development, Dynamics introduction
consultant, ORCALE introduction consultant artificial intelligence development environment
development Experience
 Big data acquisition work, analysis experience Python, TensorFlow etc etc Artificial intelligence
algorithm development Use of experience analysis algorithms in languages Transitional regression:
logistic regression, SVM tree: decision tree, random forest Bayes: simple Bayes (naive Bayes ensemble
learning: Boostin time series: AR, MA, (S) ARIMA model etc. Product analysis: Association analysis, ABC
analysis, basket analysis Business analysis Analysis of customers: Decyl analysis, R natural language
analysis: text analysis, co-occurrence network, analysis, Word 2 Vect clustering: k neighborhood method
(KNN) (K-Means), topic model · abnormality detection (outlier detection) Neural network: CNN, RNN,
LSTM, self organizing map (SOM), etc. Development related to Deep Learning / AI
KEY SKILLS
ERP20 years / The technological director
 25 years experience inERPfield, especially, professional inthe ERP modules.
 The technological director has decision, organizes, controls and disposes the ability of resources effectively; Ability
to control company's development takes charge of production management and administration of the company,
participate in making the development strategy and goal of the group; Responsible for the overall plan of the group
company in an all-round way , organize implementation of the resolution of board of directors, the leader finishes
company's annual business plan. Stress technology of group company work , perfect the financial administration ,
increase income and economize on spending and develop resources and reduce expenditures to work well mainly,
guarantee the value preserving and appreciation of the assets.
 where he is responsible for the alignment of customer needs, offerings, engagement, and messaging. His goal is to
bring the voiceof the customer into everything we do，developing and deploying IT systems and services for
companies emerging from the deregulation of the communications industry. worked as an ERP consultant.
extensive background in the ERP industry and has worked with manufacturing and distribution companies for
over 20 years
 With over 20 years in the ERP industry, responsible for driving long-term technology, architecture and product
release strategies. oversees a global research and development team, manages all technical relationships
with global partners, and innovates on key technology initiatives, including its user interfaces，foundation
services, application lifecycle management, analytics, integration and quality.
 responsible for global customer support, the service delivery of cloud solutions, and creating an excellent
overall
 Participated Management consulting and ledseveral SAP/ Oracle/ Microsoft Dynamics /
SalesforceProjects, rich in project implementation
 experience, includingbusiness Project management, process analysis and optimizesolutiondesign,
 user training, unitand integration test and Information technology go-livesupport.
 introduction to ERP was through an industry client while working as an accountant at Ernst & Young.
 Seven years in the Securities and Finance industry, with the specific focus on risk management and
 operational control procedures.
 Responsible for assisting PMO Lead in handling program levels issues, change request and risks management
 Have around 25years experience in the IT industry, with20 years specifically in the SAP environment
Experienced in the implementation of ERP packages including SAP R/3, spent the last four years in China
pursuing the business consulting and system implementation like SAP/ABAP and Oracle
Able to conduct business presentation and ERP concept both in English and Japanese
Expert both in the functional and technical with many project leading experience for multi-national companies and
large-scale organizations
A Senior SAP Consultant for Finance, Controlling and Materials Management modules, demonstrating extensive
Finance and Logistics business process knowledge throughout various industries

16.  15 years’ experience in Salesforce.com CRM Platform Strong Knowledge in Salesforce Administration
and Customization, Data Validation, Sales, Marketing, Customer Service and Support Development team.
Salesforce Administration expert who is able to maximize existing Salesforce applications and integrate them into
an existing sales system. Proficient in troubleshooting Salesforce, configure Salesforce applications and able to
work with a variety of database tools. Brings extensive computer database and hardware technical skill into the
world of Salesforce Administration
 extensive background in the ERP consulting industry. Over the last 20 years has lived and worked in Asia
where he has gained a deep understanding of the unique opportunities for manufacturing companies in this part of
the world. throughout the last 20 years of selling ERP to the global manufacturing market has secured a deep
understanding of current global supply Japan issues and chain issues，particularly in the automotive and
life sciences industries.
 responsible for global automotive strategic accounts.
 Broad Industry Experience: I have experience in consulting in a wide range of areas, from concept planning to
introduction and operation to a wide range of industries such as telecommunications, finance, pharmaceutical,
automobile, manufacturing and distribution. From experience of abundant business structure analysis, we are best
at developing and implementing IT strategy, problem extraction and solution. Business 25 years experience: a
wide range of industrial business systems such as communication, finance, pharmaceutical, automobile,
manufacturing, distribution,
15+ years AI system,Artificial intelligence (AI), machine learning (ML) and deep learning
(DL)&Cloud& BIGDATA Analytic ,Block chain
 AI system,Artificial intelligence (AI), machine learning (ML) and deep learning (DL),AWS、Azure、GCP, DATA
Analytic for Japan Toyoda and softbank
Ai-CRM System is a Web Technology CRM System which flexibles and compatibles with Scalable Enterprise. This
system focuses on the Services Organization in driving the Services Level and Internal Process Management. The
system has 4 modules which are Marketing Automation, Sales Force Automation, Support & Services and Analytic.
 Developing genetic algorithms and flowcharts for applications
 Writing codes according to the tasks accepted to accomplish through machines
 Applying knowledge of artificial intelligence for programming the robots
 Doing coding for number of robotic control systems
 Leads research in one or more of the following areas: Deep learning, OCR, and Computer Vision.Works with other
technical leads, product managers to lead development of prototypes that demonstrate research works, help
with product discovery and integrate research output into engineering code base Keeps track of developments in
field both in academia and in industry. Attending relevant conferences and publishing research results is
encouraged. First-author publications at peer-reviewed AI conferences (e.g. NIPS, CVPR, ICML, ICCV, ICLR and
ACL).
 10 + years’ experience in Image Recognition, OCR, Machine Learning, and/or Optimization. Experience in
developing an debugging in C/C++ and/or Python.Preferred Qualifications:1.Experience building systems based
on machine learning (especially deep learning) methods. Experience using frameworks likePyTorch, Caffe2,
Tensorflow.Experience with storage systems, distributed systems, HPC, and/or CUDA programming.Good
communication, collaboration, and interpersonal skills.
 Artificial intelligence: artificial neural networks, rules-based models, fuzzy logic controllers, genetic
algorithm, and ant-colony optimization
 Probabilistic programming in Figaro / Scala & deep probabilistic programming in Edward / TensorFlow
 Adaptive programming: Formans' reflection techniques for Java and .NET, dynamic object model, adaptive user
interface, adaptive design patterns, and Viable System Model (the cybernetic approach);
 Distributed programming in MapReduce / Java and Python (mrjob), Spark / Scala and Python, Akka / Scala, and
TensorFlow / Python;
 Open source libraries & toolkits: mrjob, Apache Mahout, MLlib, Apache Solr / Lucene, WEKA's API, NumPy, SciPy,
PyMC, Scala Breeze, Figaro / Scala, Edward, NLTK, spaCy, MALLET, Mulan, Gensim + word2vec, scikit-learn +
nolearn, milk, SVM-Light / PySVMLight, Pycluster, etc;
 Platforms: scientific computing (Spark, Keras & TensorFlow, WEKA / MEKA, IPython / Jupyter, OpenAI Gym,
NetLogo), cloud computing (Google App Engine, Amazon EC2), Windows, Linux (Fedora, Ubuntu).
 Research, evaluation, and design of computational architectures and systems around scalability / linear scalability,
parallelism, streaming, and real-time processing;
 Development of algorithms and algorithmic systems in C / C++, C#, Java, Scala, Python, Octave, and Julia.
 Published author of fivebooks:
 Python Machine Learning Cookbook - https://goo.gl/jizu0f
 OpenCV with Python by Example - http://goo.gl/o6Cr40
 Python: Real World Machine Learning - https://goo.gl/o4wwcz
 OpenCV: Computer Vision Projects with Python - https://goo.gl/COlwWe
 OpenCV by Example (based on C++): http://goo.gl/U2mc14
 Multiple patents centered on the algorithms for upper body measurements using smartphone, contour detection,
object recognition, and 3D modeling.
 Prateek Joshi and C.-C.Jay Kuo, “Security and Privacy in Online Social Networks - A Survey”, IEEE International
Conference on Multimedia and Expo, Barcelona, Spain, July 2011
 Tech Demo at CES 2012 (Consumer Electronics Show) in Las Vegas - Part of the Nvidia team which developed
algorithms for High Dynamic Range Imaging on Nvidia Tegra-3 tablet using the device camera
 Tech Demo at IEEE Computer Visionand Pattern Recognition (CVPR) 2011 conference in Colorado Springs - Part
of the Nvidia team which developed algorithms for computer vision demos on Tegra-3 tablet - Demos included
Vision based Augmented Reality, Seam Carving and Face Detection

17.  Artificial Intelligence Developer - Working on research and development of deep learning algorithms sequential
data
 BigData, BI，State-of-the-art specialist such as AI and IoT which collects, integrates, analyzes, reuses data
of accumulated large capacity data.Development environment / Azure, AWS, GCP, Middle / Hadoop *
Knowledge such as big data and management, Tagetik, Jupyter Notebook, Zotero, Re:dash, TensorFlow,
Keras, scikit-learn
Platform / Tableau development style / Agile development, Python, Tableau, Hive / Hadoop / R language /
bigdate / management etc.
 Embedded control system 15years experience: designing, development, evaluation in multitasking real time
control, development of semiconductor PCBA circuit designing technology software Development of transporting
section control software for semiconductor manufacturing equipment Embedding (control) type firmware using
communication and assembler Development of in-car related software, Information appliances firmware
development information Home appliances Various OS driver development, control software design for
monitoring camera installation, PLC device control software wide experience Phase experience: requirements
definition - detailed design, development to development and management Experience in management IT
operations in general / planning / consulting / business design / requirement definition / design / development
/ maintenance, overall system design / construction / operation, etc. Infrastructure overall design, construction /
operation proposal, requirement definition, basin
 Development language
 ABAP, JAVA, C, C ++, VB, VC ++, COBOL, VB.net, C # .net, Python, Ruby, PHP, OS HP-UX, Solaris, AIX, RedHat,
Windows, LINUX Windows server, LINUX server, UNIX Server, Vmware. Cloud AWS, Microsoft Azure Solutions,
Microsoft sharepoint office 365 etc.
DB: Oracle, SQLServer, ORCALE, SQL, MySQL, Server,
 Security, Building cloud environment, SAPFI / CO / SD / MM / PP / BI / BO / BW / BASISBASIS consultant ,
SAP HANA consultant, design, construction and operation of cloud system by AWS and Azure Design,
construction and operation of server (UNIX, Linux, Windows) Monitor support support development of mobile
application, package (SAPR / 3, SAPECC, ASAP, Salesfcore Introduction consultant, salesfcore development
Apex Driga page, visual force development, Dynamics introduction consultant, ORCALE introduction consultant
(Analysis, design, introduction, development, etc) ORCALE, Dynamics, design , Detailed design, coding design,
development · unit test, combined · total Test, operation design
 Strength hearing power, current status analysis, task extraction and solution, management ability
 My strength is that both infrastructure and system development are possible, I have a consistent experience from
requirement definition to development, and it is my strength that we can develop it while also managing it
 Fluent in both Japanese and English
 Proposal, design and construction of the whole system
From customer's request and RFP, you can create a proposal, define requirements, and design basic. IT operations
in general / planning · consulting · business design · requirements definition · design · development · maintenance
Strategically develop sales activities and build long-term trust relationship Skills to grasp the key persons inside
and outside the company and to flexibly adjust the organization to the project purpose
 Not only existing customers, but also customer lead-type proposal from the new customer approach Proposal sales
skills, proposals, vendor control (vendor control for product selection / proposal preparation / function
customization request after RFP)
Comparative study on major business compatibility
Current business survey, business requirement definition
Application function Gap analysis
Customization requirement definition
Business process consulting (business process analysis, design)
 Package (SAP, ORCALE, Dynamics, Salesforce etc.) and IT system consulting (analysis, design, introduction)
Project management work (up to 120 people, project schedule / task / resource planning and
management)
In order to increase customers' sales and profitability, we work on improvement of business ~ designing
and developing for package introduction.
Since we conducted business improvement globally, we collaborated with three foreign consultants and
carried out the project.
Fit-Gap analysis of business model of Roll-in, business model of Roll-out and As-is business model
 Outline explanation workshop, To-be business flow completed
Communication support for foreign consultants and customer project members
Analysis showed that the system was not unified in each country, so it was costly.
In order to unify it, we identified differences in consciousness including the customs of the land from the current
organizational structure, and as a result of proposing consciousness reform at the same time as introducing the
package, it contributed to a 10% increase in profitability. By improving the efficiency of the system, we succeeded
in shortening the task normally taking 10 days to 3 days. It contributes 10% cost reduction, contributes to
improvement of profit structure
Management experience
Proposal, from document creation to construction, consistently responsible. Specification change suddenly became
necessary according to customer 's request but verification was carried out in 5 days and the requirement
definition was implemented again so as to be in time for the delivery date,
Request analysis using UML, realization of system
design development
Management of project members, maintenance and improvement of motivation
Scheduling power not causing rework