Donghyeon Choi
Machine Learning Engineer at 스캐터랩 (Scatterlab)
South Korea
Summary
👤
Senior🎓
Top SchoolDonghyeon Choi is a Machine Learning Engineer with eight years of experience building ML-driven products and full-stack features across startups and academia in South Korea. He has applied machine learning to malware analysis in a university research lab and later integrated ML with production systems at Scatterlab and AI Network, working across Python, React/TypeScript, and mobile stacks. His background spans model development, backend services, and client-facing components such as Chrome extensions and React Native apps, reflecting a pragmatic ability to move models from research into user-facing products. Strong academic performance in computer engineering (4.1/4.5 GPA) and hands-on blockchain/AI ecosystem work hint at a blend of rigorous fundamentals and curiosity for decentralized systems.
8 years of coding experience
학부생, 컴퓨터공학과, 전체평점평균: 4.1/4.5 (전공평점평균: 4.3/4.5), 학부생, 컴퓨터공학과, 전체평점평균: 4.1/4.5 (전공평점평균: 4.3/4.5) at 국민대학교
Github Skills (43)
jupyter-notebook8
jupyter7
notebook7
jupyterlab6
chips5
aws-services5
workspace4
java4
python4
image-quality4
deep-learning3
blockchain3
aws3
blockchain-network3
javascript3
Programming languages (6)
Github contributions (5)
ainblockchain/ain-worker-base
Jan 2021 - Apr 2022
Contributions:14 reviews, 13 PRs, 72 pushes in 1 year 3 months
ainize-team/ainize-run-wonny-example
Feb 2020 - May 2021
Contributions:35 commits, 9 PRs, 30 pushes in 1 year 3 months
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