Summary
Jeonghun Yoon is an applied scientist and leader with a decade of experience building recommendation, ranking and semantic search systems for major Korean tech companies. Currently leading AD recommendation and semantic search efforts at NAVER, he previously developed user modeling and anomaly detection at Kakao and ranking algorithms at Coupang. He combines PhD-level research training from KAIST and a strong mathematical foundation with hands-on production engineering across industry and academia, including a visiting researcher stint at CUHK on external-memory algorithms. Known for bridging theory and practice, he excels at turning complex ML research into scalable, revenue-driving systems.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Hanyang University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Korea Advanced Institute of Science and Technology
English