Summary
Youngnam Kim is a data scientist with 7 years of hands-on experience building ML systems in production, from anomaly detection and recommendation engines to document AI and vision-language prototypes. Based in Seoul, he has improved store recommendation algorithms and evaluation metrics for a major food delivery app, built image moderation pipelines with Airflow, and prototyped semantic food search using foundation vision-language models. His background includes medical AI research on cardiovascular risk prediction from fundus images and a master's in machine learning from POSTECH, reflecting a strong bridge between research and product delivery. Known for cross-department collaboration, he favors pragmatic, automated pipelines that turn experimental models into reliable services and is continually exploring novel solutions for real-world data challenges.
7 years of coding experience
2 years of employment as a software developer
석사, 컴퓨터공학 기계학습, 석사, 컴퓨터공학 기계학습 at 포항공과대학교
학사, Industrial Engineering, 학사, Industrial Engineering at 홍익대학교