Summary
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.
8 years of coding experience
학사, Architectural Engineering, 학사, Architectural Engineering at 세종대학교