Summary
Jason Kim is an AI Scientist based in Seoul with 9 years of experience building data-driven systems and GenAI services at LG CNS. He has progressed from software and transit systems engineering to leading big data platforms and ETL, then to designing and implementing GenAI architectures and RAG-based enterprise knowledge search pipelines. His recent work focuses on GenAI service engines including Text-to-SQL and MAS components, blending statistical/data science rigor with production-grade engineering. Jason pairs a formal background in chemical engineering with a bachelor’s in statistics and data science, an uncommon combination that informs his quantitative approach to applied AI. Colleagues rely on him to bridge research and deployment, turning experimental models into reliable business-facing services. He is pragmatic, delivery-oriented, and experienced in guiding cross-functional teams through complex data and AI migrations.
9 years of coding experience
18 years of employment as a software developer
학사, 통계데이터과학, 학사, 통계데이터과학 at 한국방송통신대학교
Bachelor of Applied Science - BASc, 화학공학, Bachelor of Applied Science - BASc, 화학공학 at 포항공과대학교