Summary
Soyoung Yoon is a research-focused software engineer and Ph.D. candidate in Artificial Intelligence at Seoul National University with eight years of industry experience across AI research internships and engineering roles. She has applied machine learning to real-world problems at Snowflake, LG AI Research, NAVER, and smaller AI-focused companies, often contributing within teams that bridge cutting-edge research and product deployment. Trained in NLP and machine learning at KAIST (M.S. and B.S.), she brings deep academic grounding plus hands-on experimentation in production-adjacent settings. Notably, her career combines iterative research internships with practical engineering at companies of varying scale, suggesting a strong aptitude for translating novel models into usable systems. Based in Gyeonggi, South Korea, she balances rigorous scholarship with collaborative, impact-driven development.
8 years of coding experience
1 year of employment as a software developer
Ph.D Artificial Intelligence, Ph.D Artificial Intelligence at Seoul National University
Master's degree Machine Learning for Natural Language Processing, Master's degree Machine Learning for Natural Language Processing at Korea Advanced Institute of Science and Technology