Vijay Jaisankar is a Senior Data Scientist based in Bengaluru with six years of experience building computer vision and AI solutions for industrial applications, currently researching productized models at the Schneider Electric AI Hub. His work spans scene understanding and computational creativity, with applied projects that interpret Human Machine Interface screens and support solar energy transitions. He interned at Adobe Research working on condensing long documents into informative visual posters, and contributes to open-source projects like Eclipse SUMO where he implemented both front-end features and backend tests. An IIIT-B alumnus, Vijay combines research rigor with production engineering—comfortable from system-level parsing to UI refinements—and brings a keen interest in translating novel CV research into usable industrial tools. Outside of work he stays curious through travel and tennis, which he credits for maintaining focus and creative problem-solving.
6 years of coding experience
5 years of employment as a software developer
Primary and Secondary School, Primary and Secondary School at Delhi Public School, Bangalore East
Integrated Masters of Technology Computer Science and Engineering, Integrated Masters of Technology Computer Science and Engineering at International Institute of Information Technology Bangalore
Senior Secondary Education Mathematics Physics Chemistry and Computer Science, Senior Secondary Education Mathematics Physics Chemistry and Computer Science at Narayana Junior College - India
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Role in this project:
Full-stack Developer
Contributions:4 reviews, 21 PRs, 54 comments in 2 years 3 months
Contributions summary:Vijay contributed to both the front-end and back-end aspects of the Eclipse SUMO project. They implemented new features for the racing game, including steering options, sound effects, and verbosity controls, indicating front-end involvement. Additionally, the user addressed bugs, added new unit tests for the Boundary class, and made changes to the handling of POI colors based on image files, highlighting back-end development and testing. Further updates to the argument parsing in different tools also indicate system-level programming and refactoring.
Contributions:1 review, 3 PRs, 3 pushes in 1 year 2 months
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