Rohan Chitnis
AI Research Scientist at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRohan Chitnis is an AI research scientist based in San Francisco with 11 years of experience bridging academic robotics research and production-scale ML systems. He earned a PhD from MIT working on integrated learning and planning for long-horizon robotic tasks and now builds research at Meta after internships at Google Brain, Facebook AI, and Nuro where he improved exploration, intrinsic motivation, and planners for real-world manipulation and autonomy. Rohan’s work blends reinforcement learning, task-and-motion planning, and data-driven rule integration—yielding measurable behavior improvements in challenging scenesets. Beyond publications and demos, he has a strong track record of shipping engineering prototypes and frameworks that accelerate robot learning pipelines.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering and Computer Sciences, Bachelor of Science (B.S.), Electrical Engineering and Computer Sciences at University of California, BerkeleyDoctor of Philosophy (PhD), Electrical Engineering and Computer Science, Doctor of Philosophy (PhD), Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Github Skills (44)
pddl10
openai-gym10
laravel10
tmp9
wandb9
actor-critic9
deep-reinforcement-learning8
proximal-policy-optimization8
python8
graph-neural-network8
reinforcement-learning8
textmeshpro8
typewriter8
pytorch8
custom-tag8
Programming languages (4)
Github contributions (5)
ronuchit/ronuchit.github.io
Jul 2015 - Aug 2024
Contributions:151 pushes, 1 branch in 9 years 2 months
ronuchit/downward
Aug 2020 - Jan 2023
The Fast Downward domain-independent classical planning system
Contributions:1 PR, 6 pushes, 1 branch in 2 years 5 months
classical-planningindependentdomainfast-downwardplanning
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