Sudeep Pillai is a founder-CEO and machine learning engineer with 13 years of experience building production-grade perception systems and multimodal AI infrastructure, currently leading VLM Run to create a unified gateway for Visual LLMs. He previously led ML Engineering at Toyota Research Institute, shipping self-supervised and SLAM-aware models into an L4 autonomous vehicle fleet and operationalizing high-stakes MLOps. Sudeep holds a PhD from MIT where his thesis advanced monocular SLAM-supported 3D recognition, self-supervised ego-motion, and place recognition—work that has informed both academic publications and deployed autonomy stacks. He combines deep research pedigree with hands-on systems engineering from real-time motion capture to fleet-scale model deployment, enabling a rare end-to-end perspective from sensors to service. Based in Palo Alto, he’s active in founder communities (South Park Commons, On Deck) and brings a pattern of turning large-scale, geometry-rich data into robust, deployable visual intelligence. A less obvious strength is his continuity across academia, industrial research, and startup execution, which helps him bridge novel algorithms to reliable production systems.
13 years of coding experience
6 years of employment as a software developer
Summer Sessions, Summer Sessions at University of California, Berkeley
Doctor of Philosophy (Ph.D.) Computer Science (ML/CV/Robotics), Doctor of Philosophy (Ph.D.) Computer Science (ML/CV/Robotics) at Massachusetts Institute of Technology
B.S. Mechanical Engineering, B.S. Mechanical Engineering at University of Michigan
High school diploma, High school diploma at Sharjah Indian School
Contributions:15 pushes, 1 branch in 4 years 7 months
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