Eugene Yang
Machine Learning Engineer at MakinaRocks
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolEugene Yang is a machine learning engineer based in Seoul with seven years of experience bridging academic research and industry-grade ML solutions. Currently at MakinaRocks, he applies deep learning and large-scale multimedia and NLP techniques learned during a visiting stint at Carnegie Mellon and graduate research at Sungkyunkwan University. His background in industrial engineering and systems/software from dual bachelor’s degrees gives him a practical systems mindset for deploying robust ML pipelines. Eugene’s profile reflects a researcher-turned-engineer who moves models from experimental settings into production, with a particular strength in integrating advanced ML topics like game-theoretic approaches and large-scale analysis into applied problems.
6 years of coding experience
3 years of employment as a software developer
Master's degree, Industrial Engineering, Master's degree, Industrial Engineering at Sungkyunkwan University
English, Korean
Github Skills (58)
python10
machine-learning10
deep-learning10
gpu10
evaluation9
numpy9
audio-classification9
convex-optimization9
acceleration9
tensorflow9
neural-network9
localization9
gpu-acceleration9
llama-index8
health8
Programming languages (5)
Github contributions (5)
cneyang/convex-optimization-for-all.github.io
May 2021 - Aug 2021
모두를 위한 컨백스 최적화
Contributions:10 pushes, 5 branches in 2 months
cneyang/RL-practice
Mar 2021 - May 2021
Contributions:12 pushes, 1 branch, 2 comments in 1 month
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