Sangwu Lee

Machine Learning Engineer at krea.ai

City of Rochester, New York, United States
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Summary

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Senior
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Top School
Sangwu Lee is a machine learning engineer with a decade of experience building and deploying ML systems across research labs and startups, currently creating generative visual models at krea.ai. He has driven multimodal LLM/VLM research at Carnegie Mellon, delivering SOTA results, authoring conference papers, and developing a parameter- and cost-efficient VLM architecture. At the University of Rochester he moved projects from research to production—training hundreds of thousands of models on HPC, launching dataset collection platforms, and shipping ML endpoints for medical AI. As a founding engineer at Oleve he combined ML research, full-stack development, and product delivery, and he brings practical DevOps and infra experience (FastAPI, Docker, Replicate) alongside model fine-tuning at scale. Notably, Sangwu’s work emphasizes keeping inference costs low while preserving performance, reflecting a pragmatic focus on production-ready, resource-efficient ML.
code10 years of coding experience
job8 years of employment as a software developer
bookBachelor of Science - BS, Mathematics and Computer Science, Freshmen, Bachelor of Science - BS, Mathematics and Computer Science, Freshmen at University of Rochester
bookComputer Science, Computer Science at UWC-USA
languagesEnglish, Japanese, Korean, Spanish
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Github Skills (61)

generative-adversarial-network9
siggraph9
sketch9
react8
react-navigation8
text-to-speech8
meteor-package8
reinforcement-learning8
chatgpt7
react-native7
diffusion-models7
ai7
fine-tuning7
inpainting7
upload-file7

Programming languages (5)

TypeScriptMDXSCSSJavaScriptPython

Github contributions (5)

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RE-N-Y/imscore

Nov 2024 - Mar 2026

Minimal Differentiable Image Reward Functions
Contributions:9 releases, 3 PRs, 24 pushes in 1 year 4 months
RE-N-Y/devlog

May 2023 - Nov 2025

Contributions:3 PRs, 63 pushes, 2 branches in 2 years 5 months
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