Summary
Junbum Lee is an AI/ML researcher and Google Developer Expert with 11 years of engineering experience, specializing in Korean NLP and open large language models. He has led AI initiatives at Channel Corp and DataDriven, created influential Korean PLMs like KcBERT, KoAlpaca, the Llama-Ko series, and published KoMagPie—the largest Korean instruction-output dataset on Hugging Face. His work spans continual pretraining, RLHF, and retrieval-augmented generation, with a strong commitment to open-source as a form of open science. Based in Seoul, he pairs a master's in Data Science from Seoul National University with practical product experience from firms like NAVER and NEXON, bringing both research rigor and production-grade engineering. Less obvious: he bridges AI research and mentorship, actively translating academic advances into tools that empower local researchers and businesses.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at 서울대학교 (Seoul National University)
Bachelor's degree, Elementary Education (Computer Education), Bachelor's degree, Elementary Education (Computer Education) at 서울교육대학교
Korean, English