Bowei Chen

Full Stack Developer

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Summary

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Rockstar
Bowei Chen is a Senior Machine Learning Engineer in Seattle with five years of experience bridging cutting-edge research and production at institutions like Tesla, University of Washington, Adobe, and ByteDance. He specializes in image and video generation, inverse rendering, and diffusion-based portrait editing, with several publications and project pages (Inverse Painting, Total Selfie, Fit Check Generation) that reflect a strong research-to-demo pipeline. Having progressed from computational photography and recommender systems internships to PhD research under leaders like Steve Seitz and Ira Kemelmacher-Shlizerman, he combines deep theoretical insight with practical model engineering for real-world products such as Optimus & Autopilot. Bowei’s background spans full-stack engineering instincts and robotics-informed vision research from CMU, making him adept at shipping complex visual ML systems end-to-end. A not-obvious strength is his consistent pattern of turning academic prototypes into tangible demos and production collaborations across industry research labs.
code5 years of coding experience
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Github Skills (29)

programming-language10
python10
react-hook-form10
javascript9
cypress9
nextjs9
mantine9
typescript9
build-system9
css9
nodejs9
react9
angular9
cli9
monorepo9

Programming languages (7)

TypeScriptCSSRustJavaScriptTree-sitter QueryHTMLPython

Github contributions (5)

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https://sbs-ntu.github.io/2021-ultrasound-workshop/
Contributions:88 PRs, 77 pushes, 11 branches in 3 months
workshopultrasoundawsntusbs
Contributions:111 commits, 17 pushes, 1 branch in 1 month
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