Hersh Godse
Founding MTS, ML Research at Stealth Startup
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolHersh Godse is an ML research engineer and founding MTS with 11 years of experience building learned prediction, planning, and agentic models for real-world systems. He helped ship learned trajectory prediction and a 0-to-1 planner at Cruise, then focused on training and post-training of agentic foundation models at Adept before continuing that work at Amazon AGI SF Lab, where he launched Nova Act to enable developer-facing web agents. Comfortable spanning research and product delivery, he blends RL/SFT experimentation with production SDKs and data flywheel design. A UC Berkeley EECS graduate and former head TA in computer architecture, Hersh pairs deep systems intuition with hands-on model engineering. Notably, he’s now on the founding team of a stealth startup, carrying forward experience in both autonomous vehicles and scalable agentic tooling.
11 years of coding experience
6 years of employment as a software developer
B.S., Electrical Engineering and Computer Science, B.S., Electrical Engineering and Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (28)
pytorch10
parallel10
rllib10
python10
data-science10
machine-learning10
large-language-models10
reinforcement-learning10
java10
scaling10
llm10
llm-inference10
hyperparameter-optimization10
mlops10
deep-learning10
Programming languages (2)
Github contributions (5)
hershg/ray
May 2019 - Nov 2019
A system for parallel and distributed Python that unifies the ML ecosystem.
Contributions:66 pushes, 8 branches in 5 months
unifiesraypythondata-scienceparallel
hershg/algo
Apr 2015 - Nov 2016
Contributions:5 pushes, 1 branch in 1 year 7 months
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