Jason Chou is an independent researcher and software engineer in Seattle with nine years of experience building production ML systems and publishing research in multimodal models. He holds a PhD in Applied Physics and a Summa Cum Laude BSE in Computer Science from the University of Michigan, a blend that drives both high-performance scientific computing and practical ML engineering. At Airbnb he productionized fraud and insurance pipelines, implemented CLIP/OPT-based entity extraction and photo-embedding nearest-neighbor systems, and at Google he built generative TensorFlow training frameworks and fuzz-testing for counter-abuse pipelines. He is an active open-source contributor—highlighted work includes open_clip, vit-pytorch, and torchvision—and was first author on an ECCV 2024 workshop paper and author of an ICLR 2024 blog post on vision-language pretraining. He moves comfortably from low-level performance tuning of simulation pipelines to cutting-edge research on embedding geometries for contrastive language-image pretraining.
9 years of coding experience
13 years of employment as a software developer
GPA: 8.5/9.0 (4.0/4.0), GPA: 8.5/9.0 (4.0/4.0) at University of Michigan - Rackham Graduate School
B.S.E., Summa Cum Laude, Computer Science, GPA: 3.9/4.0, B.S.E., Summa Cum Laude, Computer Science, GPA: 3.9/4.0 at University of Michigan
Contributions:1 review, 14 PRs, 86 pushes in 1 year 5 months
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Jason Chou - Independent Researcher at Self-employed