Hyeji Oh
Machine Learning Engineer at NAVER Corp
Seongnam-si, South Korea
Summary
👤
Senior🎓
Top SchoolHyeji Oh is a Machine Learning Engineer with nine years of experience building real-time recommendation and ranking systems at NAVER, currently contributing to the AiRS (AI Recommender Systems) team. She designs and deploys contextual bandit and neural ranking models, short-form and feed recommendation pipelines, and has applied LLMs and Vid-LLM for video content modeling and topic/keyword generation via RAG. Her background includes graph- and session-based recommenders, XAI-powered recommendation reasoning, and ad revenue/time-series optimization for eCPM—demonstrating fluency across both content and monetization use cases. She also developed automated ad moderation and OCR/text-based detection systems for Webtoon, reflecting strong product-focused engineering in safety and quality. With a master’s in IT Engineering and hands-on production experience at scale, she blends research-aware techniques with pragmatic deployment practices. Colleagues would note her interdisciplinary approach: marrying LLM-driven content features with online learning strategies to improve live recommendation quality.
9 years of coding experience
3 years of employment as a software developer
Master's degree, IT Engineering, Master's degree, IT Engineering at 숙명여자대학교Software Development, Software Development at 양영디지털고등학교
Github Skills (13)
data-structures4
melon4
python3
algorithms3
java3
react3
continuation2
kakao2
iot2
github1
android1
utility1
kotlin1
Programming languages (6)
Github contributions (5)
hyez/NLP-study-tf2
Dec 2020 - Jan 2021
Contributions:48 commits, 33 pushes, 1 branch in 1 month
hyez/Algorithms
Jan 2020 - Jun 2022
Contributions:297 pushes, 1 branch, 3 comments in 2 years 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.