Kiran Vodrahalli
Research Scientist at DeepMind
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolKiran Vodrahalli is a research scientist with 12 years of experience at the intersection of theoretical ML and large-scale systems, currently leading Gemini research initiatives at Google DeepMind on long-context sequence modeling, efficient LLMs, and strategic/game-theoretic interactions. He previously contributed to Bard and PaLM 2 at Google Brain, focusing on resource-efficient training and evaluation of long-context models. Kiran’s background includes a PhD from Columbia working with theoreticians on foundational ML problems and earlier research tying NLP and neuroscience at Princeton, giving him a rare blend of rigorous theory and applied LLM engineering. Based in the San Francisco Bay Area, he’s known for translating game-theoretic and incentive-aware perspectives into practical model designs that scale.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Columbia University in the City of New YorkHigh School, High School at The Harker SchoolBachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at Princeton University
French
Github Skills (7)
multiplication4
matrix2
matrix-multiplication1
pytorch1
dynamical-systems1
state-space1
decomposition1
Programming languages (3)
Github contributions (5)
kiranvodrahalli/cos521
Dec 2014 - Jan 2015
Contributions:54 commits, 50 pushes in 1 month
kiranvodrahalli/kiranvodrahalli.github.io
Jun 2015 - Sep 2015
Contributions:125 pushes, 1 branch in 2 months
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