Peter Ouyang

Senior Staff AI Scientist at Intuit

San Diego, California, United States
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Summary

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Rockstar
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Top School
Peter Ouyang is a Senior Staff AI Scientist in San Diego who blends 11 years of applied machine learning experience with a deep theoretical physics background (PhD, Princeton). He has led production personalization and recommendation systems at Intuit, including a model serving millions of TurboTax users, and scaled PB‑level satellite imagery ingestion and segmentation pipelines for mapwith.ai at Facebook. Comfortable moving between research and engineering, he turns abstract mathematical ideas into robust data pipelines and user-facing ML products. His prior work in string theory and gauge/gravity duality informs a rigorous, principled approach to model design and problem formulation that often surfaces nonobvious structure in messy real-world data.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree, Physics, Bachelor's degree, Physics at Massachusetts Institute of Technology
bookDoctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Princeton University
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Github Skills (6)

3d-reconstruction10
intrinsics9
structure-from-motion8
pipeline8
python8
opencv7

Programming languages (1)

Python

Github contributions (5)

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peterouyang/mapreduce

Apr 2015 - Apr 2015

Contributions:3 pushes, 1 branch in 1 day
peterouyang/algo

Mar 2015 - Mar 2015

Contributions:3 pushes, 1 branch in 1 day
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