Summary
Seungjae Jung is a machine learning engineer with 11 years of experience building recommendation and language-model driven products across major Korean tech firms. He has driven production recommendation systems, survival analysis for user targeting, and controllable text generation for marketing at NAVER, and progressed to language model research roles at KakaoBrain and Kakao. Currently at NeuroFusion, he blends applied ML engineering with research instincts to move models from prototype to product. Trained with a master’s in computer engineering from Seoul National University and a bachelor’s in mathematics education, he pairs rigorous quantitative foundations with practical system delivery. Notably, his experience spans both research-focused language model work and hands-on commercialization of shopping-domain recommendations, giving him a rare end-to-end perspective. Based in Seongnam-si, South Korea, he excels at translating advanced ML research into measurable business impact.
11 years of coding experience
5 years of employment as a software developer
석사 컴퓨터 공학, 석사 컴퓨터 공학 at Seoul National University