Vashisht Madhavan
Applied Scientist at Amazon
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolVashisht Madhavan is an applied scientist with a decade of experience building production ML systems and research prototypes across computer vision, reinforcement learning, and post-training methods. He’s worked at top-tier AI teams including UberAI and Snorkel AI, founded a YC-backed startup focused on humanlike voice bots, and now applies RL and post-training techniques at Amazon. Comfortable bridging research and engineering, he has hands-on experience in neural architecture search, data curation, and end-to-end ML pipelines. Based in New York but Cal-trained, he blends academic rigor from Berkeley with startup grit and a track record of shipping applied AI in both product and research settings. An engineer at heart, he has moved between roles from research scientist to staff engineer to founder, often focusing on making models robust and deployable.
11 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.) Electrical Engineering and Computer Science, Master of Science (M.S.) Electrical Engineering and Computer Science at University of California, BerkeleyArcadia High School
Stackoverflow
1reputation
75reached
0answers
1question
Github Skills (26)
ai10
langchain9
reinforcement-learning9
chatgpt9
neuroevolution9
llm9
python9
typescript9
machine-learning9
generative-ai9
gemini9
openai9
anthropic9
pydantic8
open-source8
Programming languages (3)
Github contributions (5)
VashishtMadhavan/personal-site
Oct 2019 - Jul 2026
website
Contributions:1 PR, 52 pushes in 6 years 9 months
VashishtMadhavan/rllab
Feb 2018 - Oct 2018
Contributions:60 pushes in 8 months
reinforcement-learning-algorithmsdevelopingreinforcement-learningdeep-reinforcement-learninglearning-algorithms
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