Summary
Jaewon Lee is a Solutions Architect and AI engineer with eight years of experience building production-grade NLP and LLM systems, cloud-native microservices, and scalable search for consumer and enterprise products. He has led AI initiatives at TWO—delivering a multilingual language model (SUTRA), RAG-based memory for a 250k-user messaging app, and a semantic search platform serving hundreds of millions via Jio—before joining OpenAI. His background spans research and applied engineering from NAVER to XQuant, including domain-specific models (ESG-BERT), AutoML for chatbots, and multimodal NLU, and he regularly teaches applied AI to industry and academia. Comfortable across Python, FastAPI/Django, GCP/AWS, and vector search tooling, he blends rigorous academic training (PhD coursework at Seoul National University) with product-focused delivery. An understated strength is his track record of turning research prototypes into monetizable APIs and multilingual services at scale.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD 산업공학, Doctor of Philosophy - PhD 산업공학 at Seoul National University
Johns Hopkins University
High School Diploma, High School Diploma at Cheongshim International Academy