Gregory Kahn
Founding Engineer Head Of Machine Learning at Remedy Robotics
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolGregory Kahn is a founding engineer and Head of Machine Learning at Remedy Robotics with 12 years of experience building robot learning and autonomy systems. He earned his PhD in Computer Science (Robotics & ML) from UC Berkeley, where he was advised by Sergey Levine and Pieter Abbeel and transitioned research into real-world autonomy during internships at Skydio and UC Berkeley labs. Gregory blends deep academic expertise with hands-on startup execution, leading ML engineering from prototype to deployed robotic products. His background spans electrical engineering fundamentals through advanced reinforcement learning and control, enabling practical solutions for perception, planning, and manipulation. Based in San Francisco, he is known for bridging rigorous research with product-driven engineering and for a pragmatic focus on reliability in deployed robotic systems. An under-the-radar strength is his sustained role as a founding technical leader, indicating both technical depth and early-stage company-building experience.
12 years of coding experience
9 years of employment as a software developer
PhD Computer Science Robotics and Machine Learning, PhD Computer Science Robotics and Machine Learning at University of California, BerkeleyBurlingame High School
Github Skills (26)
openai-gym10
geometry9
reinforcement-learning9
intrinsics9
stereo9
homography9
structure-from-motion9
deep-reinforcement-learning9
computer-vision8
platform-independent8
unreal8
colmap8
simulator8
openai7
control-systems7
Programming languages (2)
Github contributions (5)
gkahn13/bsp
Dec 2013 - Sep 2014
Contributions:466 commits in 9 months
gkahn13/gcg
Feb 2018 - Jan 2019
Contributions:66 pushes, 22 branches, 3 comments in 11 months
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