Sangryul Kim
Seoul, Korea, Republic of
Summary
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SeniorSangryul Kim is a machine learning engineer based in Seoul with nine years of software experience and a strong academic foundation (M.S. candidate in AI at KAIST, high-performing CS undergrad at Chung-Ang). He blends research-driven NLP and generative modeling expertise with production-focused MLOps and backend/infra skills, demonstrated through internships at NAVER WEBTOON and NAVER Corp and a recent role building LLM-based evaluation frameworks. Sangryul has built practical systems—from a Korean embedding model and evaluation tooling to web product features at IMQA—and is comfortable moving models from prototype to measurable product insights. Active in ML education and community programs (Google ML Bootcamp, Naver Boostcourse) and maintaining a research presence via Google Scholar and a personal site, he tends to focus on explainability and service-quality metrics that directly inform UX improvements.
9 years of coding experience
Github Skills (52)
squad9
rest9
api9
korean-nlp9
openapi8
python8
swagger-ui8
swagger8
graph8
fastapi8
json8
async8
json-schema8
javascript7
dataflow-programming7
Programming languages (5)
Github contributions (5)
SangRyul/SangRyul.github.io
Jun 2024 - Jul 2026
Contributions:1 push, 2 branches in 2 years
cali-in-cau/auto-ta-ml
Jan 2021 - Feb 2021
ML, DL, Data Enginnering code for Auto TA project
Contributions:10 commits, 8 pushes in 26 days
machine-learning
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