Mo Bavarian
Member Of Technical Staff at Arwin
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMo Bavarian is an ML researcher and engineering leader at OpenAI who bridges large-scale systems and model science, currently leading research in the Science Deep Learning group with a focus on multi-cluster training, long-context models, and data for RL targeting reasoning capabilities. With a PhD from MIT in theoretical computer science and nine years of industry experience, he previously led backend systems at Rubrik building cloud-native distributed services in Scala and Go. He combines deep core CS foundations (algorithms, systems) with practical ML expertise across scaling laws, regularization, and code generation that powered early Codex work. An IMO and Putnam competitor in his past, he brings rare mathematical pedigree to applied ML problems and also advises executive strategy and startups, reflecting both technical depth and product-facing influence.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mathematics and Computer Science, Doctor of Philosophy (Ph.D.) Mathematics and Computer Science at Massachusetts Institute of TechnologyBachelor of Science - BS Mathematics and Physics , Bachelor of Science - BS Mathematics and Physics at The University of British Columbia
Github Skills (16)
blob-storage4
solve4
universe4
azure-blob-storage3
storage3
microsoft2
azure2
golang2
agent2
mutate1
request-response1
middleware1
microsoft-azure1
headers1
pipeline1
Programming languages (3)
Github contributions (5)
mbavar/Actor-Critic-Algs-on-Tensorflow
Sep 2017 - Nov 2017
Contributions:99 commits, 58 pushes, 1 branch in 2 months
mbavar/mbavar.github.io
Nov 2019 - Oct 2020
Contributions:54 pushes, 1 branch in 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.