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.
10 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 (19)
neuroevolution10
neat10
reinforcement-learning9
ai8
machine-learning8
api7
deep-learning7
python7
neural-architecture-search6
tensorflow6
twilio6
twilio-api6
meta6
openai5
meta-learning5
Programming languages (3)
Github contributions (5)
VashishtMadhavan/personal-site
Oct 2019 - Jan 2025
website
Contributions:1 PR, 50 pushes in 5 years 3 months
VashishtMadhavan/pytorch-maml-rl
Nov 2018 - May 2019
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Contributions:119 pushes in 6 months
pytorchmeta-learningagnosticreinforcement-learningmeta
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