Sanmit Narvekar
Research Scientist at Waymo
Austin, Texas, United States
Summary
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Senior🎓
Top SchoolSanmit Narvekar is a research scientist at Waymo developing machine learning models for behavior prediction, leveraging a PhD in computer science from UT Austin focused on curriculum learning in reinforcement learning. He brings a strong blend of theory and production experience, including a Google RL-focused recommender systems internship that contributed to a publication and a patent, and JPL work applying SAR data to disaster detection. His doctoral research automated the design of task sequences to accelerate RL, and he contributed to computer vision for the UT Austin Villa robot soccer team, which finished second at RoboCup 2016. An NDSEG fellow with about nine years of experience across academia and industry, he is based in Austin, Texas. His early work on probabilistic automata for anomaly detection underlines a career-long interest in robust learning and perception in dynamic environments.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at California State University-Los AngelesDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at The University of Texas at Austin
Github Skills (1)
robocup9
Programming languages (1)
Github contributions (5)
sanmit/HFO-benchmark
Jan 2016 - Feb 2016
Contributions:11 pushes, 4 branches in 26 days
robocupfieldsoccer
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