Bo(Frank)_Li_Resume
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Bo Li is seeking a full-time software development position starting in February 2017. He has a Master's degree in Computer Science from Stevens Institute of Technology and Master's and Bachelor's degrees in Electrical Engineering from schools in Beijing, China. He has over 4 years of experience as a Software Development Engineer developing driverless train control systems. He is proficient in programming languages like C/C++, Java, JavaScript, Python and frameworks like Flask, Hadoop, and Bootstrap. He has also completed academic projects at Stevens Institute including developing a micro Twitter and eBay server in Python/Flask and a movie recommender system using Scala on Amazon EC2 that recommends movies based on a user's preferences.
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Padma Brundavanam completed a Master's degree in Electrical and Computer Engineering from Carleton University in Ottawa, Canada, where coursework included internetworking, telemedicine, software engineering, and distributed systems. She holds a Bachelor's degree in Information Technology from GITAM University in Visakhapatnam, India. Skills include Java, C, C++, Python, UML, SQL, networking protocols, cloud computing, and operating systems. Relevant experience includes internships developing web forums using Java and content creation for computer science students. Projects include comparing intrusion detection tools, creating a semantic similarity tool, and developing distributed system and online store prototypes.
Venkata brundavanam 2020
Padma Brundavanam has a Master's degree in Electrical and Computer Engineering from Carleton University in Ottawa, Canada and a Bachelor's degree in Information Technology from GITAM University in Visakhapatnam, India. Their experience includes projects in areas like SDN, network intrusion detection, semantic analysis, and e-commerce. They have skills in languages like Java, C, C++, Python and technologies like UML, SQL, Docker, and networking protocols. Padma Brundavanam is currently learning Python and working towards a CCNA certification.
Tianxiao Yang Resume
Tianxiao Yang is seeking an entry-level position in computer science. She has a Master of Science in Computer Science from Stevens Institute of Technology expected in May 2017, and a Bachelor of Engineering in Civil Engineering from Central South University. She has skills in programming languages like C++, Java, JavaScript, Python, and databases like MongoDB and MySQL. She has relevant experience designing responsive web UIs and implementing text processing algorithms. She also has experience building iOS and web applications utilizing technologies like Firebase, node.js, and AWS.
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Lavina Chandwani has an M.S. in Electrical and Computer Engineering from Carnegie Mellon University and B.E. in Electrical and Electronics Engineering from Birla Institute of Technology & Science. She has experience in software including MATLAB, Cadence, C, Java, Python, Verilog, and SystemVerilog. At CMU, she worked on projects involving OpenMP optimization, real-time kernel development, motor control, and an HTTP proxy server. Previously, she tested packet optical transport equipment at Tejas Networks and designed Verilog models and algorithms for multiphase converters at Texas Instruments.
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Tanushree Haldar has a M.Tech from IIT Kharagpur and a B.E. from Bengal Engineering and Science University. She has skills in programming languages like C, C++, C#, MATLAB, and R as well as web technologies like HTML, CSS, and databases like SQL Server and Oracle. She has completed projects on classical music composition using cellular automata, designing a one-way hash function based on 2D cellular automata, and building parts of operating systems. She worked as a Programmer Analyst at Cognizant for nearly 3 years and had internships at IBM.
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Apoorv V. Joshi is seeking a job as a software engineer. He has a Master's degree in Computer Engineering from North Carolina State University and a Bachelor's degree in Electronics and Telecommunication from Pune Institute of Computer Technology in India. His technical skills include programming languages like Java, Python, C, C++, and network tools. He has internship experience developing an electro retino graphy system. His projects involve creating a handover application for VoIP calls on Android and modifying Linux kernel modules to prioritize emergency network traffic. He also has experience with simulation tools and analyzing variants of TCP congestion control.
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Tong Zhu is seeking a software development engineering position available from May 2017. He has a Master's degree in Electrical and Computer Engineering from the University of Michigan with a 3.7 GPA and a Bachelor's degree from Sun Yat-sen University in China with a 3.8 GPA. His skills include C++, Python, SQL, and he has experience with multi-threading, socket programming, computer vision, and image processing. His project experience includes designing an interface for image data, implementing multi-threading and a network file server, and doing face tracking and recognition.
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Karthik has over 8 years of experience developing .NET and SharePoint applications, including SharePoint add-ins, workflows, and Azure services. He is proficient in C#, JavaScript, SQL Server, and Azure technologies. His experience includes projects for Johnson Controls involving SharePoint development and Azure web jobs, and asset tracking and power trading systems for other clients.
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Rohith Engu is seeking a software engineering position. He has a M.S. in Computer Engineering from Syracuse University and a Bachelor's degree in Computer Science from Maharashtra Institute of Technology in India. His experience includes internships at Digital Signal Corporation and Oracle Financial Services Software Ltd. where he developed applications in Java, C++, and .NET. He has strong skills in programming languages like C++, Java, C#, and technologies including Android, SQL Server, and AWS.
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Tao Liang is a Master's student in Electrical and Electronic Engineering at Caltech with a 4.0 GPA. He has work experience interning at iRobot, 21st Century Education, and Microsoft. His research and projects include implementing latent factor models on GPUs, generating Shakespearean poems with HMMs, and sentiment analysis with machine learning algorithms. He is experienced with languages like Java, Python, C, and databases like MySQL.
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Yue Li is seeking a full-time software engineer position and has a strong academic and project background. They have a Master's in Computer Engineering from University of Florida with a 3.8 GPA and Bachelor's in Electrical Engineering from Beijing University of Posts and Telecommunications with a 3.66 GPA. Notable projects include establishing a hierarchical file sharing system using Python, MongoDB and XML-RPC, designing an online bookstore website using PHP and SQL, and creating a peer-to-peer file downloading network in Java. Relevant work experience includes internships developing Lamp stack applications using Agile methodology and assisting with software testing.
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Kevin Hsin-Kai Wang has experience building distributed computing environments using Apache Spark and migrating models between R, Scala, and Python. He has interned at HBI Solutions since 2015 developing Spark clusters and at MediaTek in 2014 building a network simulation in OMNeT++. Wang received his Master's in Electrical and Computer Engineering from UC San Diego in 2015 and Bachelor's in Electrical Engineering from National Taiwan University in 2012. His projects include implementing sliding window protocols, routers, a Tetris game, MapReduce jobs, and a gesture-based data transfer app.
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Surinder Sokhal is a computer science graduate student at Northeastern University with experience in software engineering and technical skills including Java, Python, SQL, Hadoop, and AWS. He completed internships at Nok Nok Labs where he enhanced deployment automation scripts and developed an Android test harness, and at TCS where he created a report generation tool using Java, Weka, and Hadoop. His academic projects include predicting stock prices using Twitter sentiment analysis, implementing a MapReduce-based small world experiment, and developing a web crawler with page ranking and indexing.
Avinash closepet suresh
Experienced software professional in Java, Python, SQL.
Specialities and best practices: Software Quality assurance methodologies, Black box testing, white box testing, Software development life cycle which includes water fall & agile methodologies.
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Bo(Frank)_Li_Resume
- 1. Bo(Frank) Li 219 Laidlaw Ave, Apt.1, Jersey City, NJ 07306 Tel: 201-683-1878 libo824@gmail.com http://primbo.net OBJECTIVE: Seeking for a full-time Software Development position starting on February 2017 EDUCATION: Stevens Institute of Technology, Hoboken, NJ Master of Science in Computer Science (GPA: 3.96/4.0) 09/2015 – 12/2016 Core Curriculum: Distributed System and Cloud Computing, Concurrent Programming, Introduction to Operating Systems, Advanced Algorithm Design & Implement, Database Management System Beijing Jiaotong University, Beijing, China Master of Science in Electrical Engineering (GPA: 3.6/4.0) 09/2008 – 02/2011 Beijing Institute of Technology, Beijing, China Bachelor of Science in Electrical Engineering (GPA: 3.5/4.0) 09/2004 – 06/2008 SKILLS: Programming Languages: C/C++, JAVA, JavaScript, SQL, node.js, Python, Erlang, Scala Operating Systems: Unix/Linux, Windows, Mac Databases: PostgreSQL, MySQL, MongoDB Application Framework: Hadoop, Flask, CDAP, TCP/IP, RESTful, AmazonEC2, Bootstrap EXPERIENCE: China & America Signal Corporation, Beijing, China 02/2011 – 08/2015 Software Development Engineer Driverless train control system • Won “Pearl River Delta Rapid Transit” automatic train operation contract from competitor by successfully implementing best performances of driverless train control system – implementation includes designing high performance algorithm, integrating sensors data into software, establishing failure to safety principle into the system and shaping a RAMS(Reliability, Availability, Maintainability, and Safety) system • Implemented algorithm to reach best automatic train operation performances in terms of control and stopping precision. • Acted the “moving block” principle to ensure operating headways as short as 80 seconds between two trains in order to achieve maximum line capacity, which is using on “Line 2, Beijing subway” Master Simulator (embedded system testing environment) • Developed a scalable real-time distributed testing environment based on HTML/JavaScript/node.js, handling real time and batch processing of thousands of requests and daily events • Integrated and synchronized different kind of signals (RS232, RS485, Profibus, square signal, relay), implemented middle layer between hardware and software • Worked with the QA team to ensure high-quality delivery with unit and integration tests • Designed, developed and maintained this service API based on MQTT Protocol. • Established monitoring performance. Designed front end user interface based on Bootstrap framework • Designed the server side database to storage static data (railway line data) and dynamic data (network transmission data) based on MongoDB ACADEMIC Stevens Institute of Technology, Hoboken, NJ PROJECTS: Several web projects (Micro Twitter, Micro eBay and Email Classifier Website) 10/2016 – 11/2016 • Developed decently featured Micro Twitter server based on the Python/Flask combination; Implemented a website to access email and filter overdue emails from Gmail through Gmail API • Design user logins, sessions, profiles and user avatars and implemented database management • Built Web form support, email notifications to users, full text search, email notifications to users and pagination of long lists of items. • Utilized caching and other performance optimizations. • Used git revision control system to track progress and collaborate with team. • https://github.com/libo824/2016SummerEmailClassifier Web Crawler and Movie Recommender 05/2016 – 08/2016 • Developed a Web crawler with Bloom Filter to get 1,000,000 movies’ web pages from IMDB web site in Python and stored these information in MySQL; Built an application to recommends movies to users using collaborative filtering using those crawled data • Researched distributed algorithm paper such as MapReduce, Google FS, Paxos • Applied the ALS algorithm from Apache Spark's MLlib to train the prediction model based on Scala • Utilized the MapReduce method, based on the prediction model to calculate the predicted scores on non- rated movies • Deployed the previous project on Amazon EC2 • https://github.com/libo824/MovieRecommender