Chan So is an AI/ML engineer with nine years of experience building production-grade language and recommendation models, currently focused on ad targeting and search-ad matching at NAVER in Seoul. He combines an academic foundation from Korea University (MS in Computer Science and Bioinformatics) with hands-on R&D roles in language models and biomedical NLP across industry labs and internships. His recent work emphasizes user intent and embedding-driven targeting for advertising, while earlier projects improved chatbot robustness and biomedical text understanding. Comfortable bridging research and product, he has navigated both specialist research positions and applied engineering at scale. A less obvious strength is his cross-domain fluency—applying biomedical NLP techniques to commercial language tasks—which helps him innovate on user intent modeling in ads.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Korea University
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