Sangryul Kim
Machine Learning Engineer at NAVER Corp
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSangryul 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
2 years of employment as a software developer
Hankuk Academy of Foreign StudiesBachelor's degree, Computer Science and Engineering, 3.98 / 4.5, Bachelor's degree, Computer Science and Engineering, 3.98 / 4.5 at 중앙대학교Master's degree, Artificial Intelligence, 3.94 / 4.3, Master's degree, Artificial Intelligence, 3.94 / 4.3 at 한국과학기술원(KAIST)
English, Korean
Github Skills (58)
async9
json-schema9
json9
swagger9
rest9
api9
swagger-ui9
openapi9
python8
redoc8
graph8
fastapi8
javascript7
korean-nlp7
high-performance7
Programming languages (5)
Github contributions (5)
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
pythondata-sciencemachine-learningfeature-engineeringtraining-data
cali-in-cau/auto-ta-ml-server
Feb 2021 - Sep 2021
Contributions:10 pushes in 7 months
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