Summary
Sanyam Bhutani is a Partner Engineer at Meta with nine years of experience building and shipping deep learning and ML tooling, previously at H2O.ai and Weights & Biases. He combines hands-on model engineering with developer-facing roles, helping bridge research-grade deep learning into production and developer ecosystems. A fast.ai international fellow, Kaggle grandmaster, and host of the Chai Time Data Science podcast, he’s fluent in both technical detail and community education. His background includes founding AI startups and creating AI content, signaling a knack for translating complex ML concepts into practical products and learning resources. Based in Menlo Park, he brings a mix of startup grit, research-led craft, and public-facing technical communication to platform and partner engineering work.
9 years of coding experience
9 years of employment as a software developer
FAST AI Part1v2 Deep Learning, FAST AI Part1v2 Deep Learning at University of San Francisco
Flying Car Nanodegree Flying Cars, Flying Car Nanodegree Flying Cars at Udacity
12th Grade, 12th Grade at Doon International School
PyImageSearch Gurus Graduate, PyImageSearch Gurus Graduate at PyImageSearch
MIT 6.S094 MOOC Deep Learning for Self Driving Cars, MIT 6.S094 MOOC Deep Learning for Self Driving Cars at Massachusetts Institute of Technology
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at SRM University
10th Grade, 10th Grade at Ann Mary School