Summary
Sanghyuk Chun is a tech leader and research scientist with nine years of experience specializing in machine learning, vision-language, and recommender systems. Currently leading research and development at NAVER Corp, he blends academic rigor from a KAIST master's in machine learning with hands-on production experience building large-scale recommendation platforms at Kakao (TOROS) and music personalization for Melon and KakaoMini. His work spans MAB algorithms, deep learning for text and music embedding, and practical deployment of scalable models in real-world services. Comfortable across research and engineering, he has a background in systems and C/C++ from early internships and startup web development, giving him a pragmatic edge when moving prototypes to production. Colleagues know him for connecting unsupervised learning and optimization insights to product-facing recommendations. Based in New Jersey, he brings an applied research mindset to solve industrial-scale ML problems.
9 years of coding experience
3 years of employment as a software developer
경기북과학고등학교
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at 한국과학기술원(KAIST)
Korean, English, Japanese, French