Omkar Savant
San Francisco, California, United States
Summary
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SeniorOmkar Savant is a product leader with 10 years of cross-disciplinary experience building ML-driven products, from robotics and control systems to enterprise AI agents and large language models. Currently a PM at Google DeepMind, he leads post-training tool- and computer-use capabilities for the Gemini 2.5 and 3.0 series after joining DeepMind following a stint as the first PM hire at Adept, which was acquired by Amazon. His background spans applied ML, ML Ops, optimization, and real-time systems—skills honed at Lyft (marketplace optimization and mapping), NVIDIA (robotics control), and early robotics work at Penn’s GRASP Lab. Equally comfortable with research and productization, he has a hands-on engineering pedigree (C++, ROS, Matlab, Python) that informs pragmatic product decisions. Based in San Francisco, he combines academic rigor from UPenn’s MSE Robotics with startup execution and a focus on making advanced agent capabilities reliably usable in production.
10 years of coding experience
Github Skills (8)
lidar5
robotics5
trajectory-optimization4
camera4
ros4
dji-sdk3
rover3
sdk2
Programming languages (1)
Github contributions (5)
OmkarSavant/Racecar-Local-Planner
Nov 2018 - Sep 2019
Contributions:32 commits, 30 pushes in 9 months
OmkarSavant/TB-LQR-RRT
Apr 2020 - Sep 2020
Contributions:4 commits, 4 pushes, 1 branch in 4 months
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