Bright Kim

Data Scientist

Seoul, South Korea
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Summary

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Senior
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Top School
Bright Kim is a data scientist with eight years of experience specializing in bringing ML modules from research to production, focusing on API/backend development, dataset engineering, automated deployment, and monitoring. Based in Seoul, he combines hands-on image and video processing (OpenCV/Python) with building web tools for dataset collection, annotation, and service-side ML visualization. He has production cloud and container expertise (AWS EC2/ECS/Lambda, Docker) and a track record of creating QA and data-labeling tools using Flask/FastAPI and modern JS frameworks. His background includes neural architecture search research and practical DARTS implementations from an internship, plus hands-on teaching and freelance coaching to help teams adopt deep learning workflows. Notably, his career path blends an architectural engineering degree with deep technical ML ops skills, giving him a systems-minded approach to deploying robust AI services.
code8 years of coding experience
book학사, Architectural Engineering, 학사, Architectural Engineering at 세종대학교
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Stackoverflow

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Github Skills (1)

journal6

Programming languages (4)

JavaScriptHTMLSvelteJupyter Notebook

Github contributions (5)

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Contributions:102 commits, 14 PRs, 82 pushes in 2 months
kc-ml2/darts

Apr 2019 - Jul 2019

Contributions:27 commits, 2 pushes in 3 months
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