Yongwoo Cho
Quantitative Researcher, ML
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolYongwoo Cho is a quantitative researcher and machine learning engineer with 10 years of experience building ML/DL systems and data engineering pipelines, currently focusing on quantitative and crypto trading research. He previously drove e-commerce classification, clustering, and NLP efforts at NAVER Shopping and now explores semi-supervised E-commerce CLIP models and applied ML at Unnoted. An active kaggler and competition contributor, he maintains repositories showcasing practical deep learning and data engineering solutions. Yongwoo combines rigorous academic training (B.S. and M.S. in Computer Science from Sogang University) with hands-on production experience in Seoul, making him adept at turning noisy product and market data into robust, deployable models.
10 years of coding experience
3 years of employment as a software developer
학사, 컴퓨터공학, 학사, 컴퓨터공학 at 서강대학교
Github Skills (33)
pytorch10
natural-language-processing10
nlp10
python9
machine-learning9
bert9
paper9
tensorflow9
deep-learning9
speech-recognition9
transformer9
language-model8
jax8
language-processing8
transformers8
Programming languages (2)
Github contributions (5)
nomorecoke/naver-AI-final
May 2018 - Oct 2018
Contributions:12 commits, 11 pushes, 1 branch in 5 months
fluent-python/leetcode
Aug 2019 - Mar 2021
Contributions:56 pushes, 1 branch in 1 year 6 months
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