Summary
Sangam Lee is an AI-focused researcher and engineer with four years of experience specializing in information retrieval, retrieval-augmented language models, and alignment of large language models. Currently pursuing an integrated MS/Ph.D. in Artificial Intelligence at Yonsei University, Sangam combines academic research with industry exposure as a research intern at NAVER and prior internships at Yonsei and Seoul National University Hospital working on RAG, T5, and domain-specific NLP for medical coding. He has practical experience in parameter-efficient fine-tuning and leveraging external knowledge sources to improve model grounding, and has mentored AI learners in intensive developer courses. Based in Seoul, Sangam brings a pragmatic research mindset—bridging rigorous experimentation with real-world application needs—and maintains academic-industry collaborations that accelerate bringing retrieval-augmented systems into practice.
4 years of coding experience
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Seoul National University of Science and Technology
Ph.D student Artificial Intelligence, Ph.D student Artificial Intelligence at Yonsei University