Summary
Jithendaraa Subramanian is an AI researcher and engineer with eight years of experience applying machine learning to real-world problems across industry and academia. Currently an AI Resident at Toyota Research Institute, he develops multimodal foundation models for materials while concurrently pursuing causal representation learning at Mila. His background spans applied research internships at Amazon, Berkeley, and Carnegie Mellon, with projects ranging from large-scale revenue forecasting to secure ML systems and reinforcement learning for education. He brings strong practical skills in time-series causality, continuous-time video dynamics, and privacy-aware algorithms, reflecting a rare blend of theoretical depth and production-minded experimentation. Based in Sunnyvale, he leverages cross-disciplinary collaborations to move models from concept to impact, and maintains an active presence on GitHub and Google Scholar. An early focus on web operations and teaching underscores his aptitude for communication and building usable systems alongside research.
8 years of coding experience
3 years of employment as a software developer
MS Thesis, Computer Science, MS Thesis, Computer Science at Mila - Quebec Artificial Intelligence Institute
B.Tech, Production Engineering, B.Tech, Production Engineering at National Institute of Technology, Tiruchirappalli
National Public School Gopalapuram
MS Thesis, Computer Science, MS Thesis, Computer Science at McGill University
English, Tamil, Sanskrit