Sanmit Narvekar
Research Scientist at Waymo
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolSanmit Narvekar is a research scientist with a decade of experience applying reinforcement learning and computer vision to real-world problems, currently building behavior prediction models at Waymo. He completed a PhD at UT Austin under Peter Stone, specializing in curriculum learning—automating sequences of training tasks to accelerate agent learning—and contributed to the UT Austin Villa RoboCup vision system. His background spans academia and industry, including RL research applied to recommender systems at Google and satellite-imagery classification for disaster response at JPL. Sanmit combines strong theoretical foundations with production-minded ML engineering, uniquely blending curriculum design, vision, and simulation-driven evaluation.
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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