The document is a curriculum vitae for Prashant Singh that summarizes his personal and professional experience. It includes his name, contact information, date of birth, nationality, objective of building a career in deep learning and computer vision. It lists his work experience at Terraloupe Gmbh and Fraunhofer AISEC. It details his education including an MSc from Technische Universität München and Bachelors from SRM University. It provides an overview of his academic projects and skills including programming languages, technologies and publications.
Profile Summary
14 years of Total Experience in Python Development
10 Years in Leading Teams, Scrum Master and Management
8 Years of experience as Solution Architect in multiple projects.
Open source Contributor in Python Software Foundation
Research & Development, Proof of Concepts, SDLC process
Gathering information from Clients directly and Reporting
Agile Methodology and Cloud Technology SME
Corporate Trainer for Python, Flask and Agile
Conducting Interviews for Python, Linux, C++
Domain Exposure: Banking, Finance, Digital, Network Security, Energy, CFD,
HPSA, Server Automation
Data science holds tremendous potential for organizations to uncover new insights and drivers of revenue and profitability. Big Data has brought the promise of doing data science at scale to enterprises, however this promise also comes with challenges for data scientists to continuously learn and collaborate. Data Scientists have many tools at their disposal such as notebooks like Juypter and Apache Zeppelin & IDEs such as RStudio with languages like R, Python, Scala and frameworks like Apache Spark. Given all the choices how do you best collaborate to build your model and then work through the development lifecycle to deploy it from test into production ?
In this session learn the attributes of a modern data science platform that empowers data scientists to build models using all the data in their data lake and foster continuous learning and collaboration. We will show a demo of DSX with HDP with the focus on integration, security and model deployment and management.
Speakers:
Sriram Srinivasan, Senior Technical Staff Member, Analytics Platform Architect, IBM
Vikram Murali, Program Director, Data Science and Machine Learning, IBM
Profile Summary
14 years of Total Experience in Python Development
10 Years in Leading Teams, Scrum Master and Management
8 Years of experience as Solution Architect in multiple projects.
Open source Contributor in Python Software Foundation
Research & Development, Proof of Concepts, SDLC process
Gathering information from Clients directly and Reporting
Agile Methodology and Cloud Technology SME
Corporate Trainer for Python, Flask and Agile
Conducting Interviews for Python, Linux, C++
Domain Exposure: Banking, Finance, Digital, Network Security, Energy, CFD,
HPSA, Server Automation
Data science holds tremendous potential for organizations to uncover new insights and drivers of revenue and profitability. Big Data has brought the promise of doing data science at scale to enterprises, however this promise also comes with challenges for data scientists to continuously learn and collaborate. Data Scientists have many tools at their disposal such as notebooks like Juypter and Apache Zeppelin & IDEs such as RStudio with languages like R, Python, Scala and frameworks like Apache Spark. Given all the choices how do you best collaborate to build your model and then work through the development lifecycle to deploy it from test into production ?
In this session learn the attributes of a modern data science platform that empowers data scientists to build models using all the data in their data lake and foster continuous learning and collaboration. We will show a demo of DSX with HDP with the focus on integration, security and model deployment and management.
Speakers:
Sriram Srinivasan, Senior Technical Staff Member, Analytics Platform Architect, IBM
Vikram Murali, Program Director, Data Science and Machine Learning, IBM
1. Curriculum Vitae
Name Singh, Prashant
Address Am Schäferanger 13/343
85764 Oberschleißheim, Germany
Tel. No +49 (0) 176 7266 7259
Email prashantk.singh@tum.de
Date of Birth 04 May , 1989
Nationality Indian
Objective
Building a research-oriented career in the fields of Deep Learning and Computer Vision by persistently
applying and nurturing possessed technical and interpersonal skills
Work Experiences
11/15 – Till now Work Student
Terraloupe Gmbh, Munich, Germany
- Developing and making changes in Geodata using QGiS.
- Worked on Algorithm for detecting Lane marking and road edges
- Make some changes in terraloupe viewer using Python Django framework.
09/15 - 01/15 Research Assistant
Fraunhofer AISEC, Garching, Germany
- Research on Dependency Analysis of various software packages.
- Research on finding out the dependency information (Network, Hardware and
Software) and find the suitable architecture with least dependency on each other.
07/11 - 08/14 Software Engineer
HCL Technologies Ltd., Bangalore, India
- Development of web services for Kisok machines in Casino using TIBCO BW.
- Support and Management of the deployed web services of a Betting and Gaming
website.
- Development and Support of Middleware messaging services of a Bank deployed
using TIBCO EMS.
Education
10/13 - present MSc Informatics
Technische Universität München (TUM), Munich, Germany
CGPA: 2.5
Emphasis: Machine Learning, Computer Vision, Augmented Reality
2. 07/09 - 06/13 Bachelors in Computer Engineering
SRM University, Chennai, India
CGPA: 7.49
Main courses: Algorithms, Data structures, Distributed systems, Computer networks
Academic Projects
Medical Image Registration Using Deep Learning in Matconvnet
- Preprocessing the medical 3D images and generate patches to be used as input for the VGG Network.
- Add a fully connected network layer and train the Network.
- Identify the deformation fields using the trained network.
RGB-D keyframe Fusion using CUDA
- Fusing low resolution RGB-D frames to obtain high resolution RGB-D keyframe using depth and color
fusion.
Distributed Data Mining using Spark
- Setting up the cluster of more than 10 VM using Spark.
- Develop the word count on documents and ran it on those VM.
- Classify the Wikipedia Documents based on their Genere using the SVM and LDA.
Knowledge/Skills/Interests
Prog. Skills Python,C++,Matlab, Core Java
Tech. Skills Linux (Ubuntu),Matconvnet,TensorFlow,OpenCV, SciKit Learn, Spark, Hadoop
Tools Eclipse,iPython,Visual Studio, Git, LaTeX
Languages Hindi (Mother Tongue), English (Fluent), German (Basic)
Publications
1. Gundeep Singh Bindra, Krishen Kant Kandwal, Prashant Singh, Seema Khanna, "Tracing
Information Flow and Analyzing the Effects of Incomplete Data in Social Media",
10.1109/CICSyN.2012.51, pp 235 -240, 2012 Fourth International Conference on
Computational Intelligence, Communication Systems and Networks (CICSyN).
2. Gundeep Singh Bindra, Prashant Kumar Singh, Krishen Kant Kandwal, Seema Khanna, “Cloud
security: Analysis and risk management of VM images”, 10.1109/ICInfA.2012.6246757, pp
646-651, 2012 International Conference on Information and Automation (ICIA