Summary
Seung Jin is a machine learning engineer with nine years of experience turning research into production-ready systems. Based in Seoul, South Korea, he currently applies ML at PFCT - PFC Technologies, building end-to-end models and deployment pipelines since April 2021. His career spans NLP engineering at Deepgram, a machine learning engineer internship at Apple, and software engineering at Magic Leap, giving him a broad view of ML from research to implementation. He earned a BA in Physics from the University of California, Berkeley, and a Master's in Computer Science from the University of San Francisco, grounding his work in a strong quantitative foundation. An advocate for production-driven ML, he blends research, engineering, and deployment disciplines, as reflected in his GitHub bio "ML Engineer @ PeopleFund" and his track record of shipping ML work to production across diverse teams.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts (B.A.), Physics, Bachelor of Arts (B.A.), Physics at University of California, Berkeley
Masters, Computer Science, Masters, Computer Science at University of San Francisco
English, Korean