Summary
Dongjun Lee is an AI Lead based in South Korea with eight years of hands-on experience building production-grade machine learning and NLP systems across e-commerce and legal-tech domains. He has led scoping-to-delivery efforts—from architecting RAG and conversation frameworks for a law-focused generative-AI search product to automating shopping cataloging with OCR+LLM pipelines and human-in-the-loop verification that achieved ~95% group accuracy and 98% precision on duplicate detection. Previously he grew and scaled engineering and AI teams (3→13), steered cloud and CI/CD migrations, and drove domain-specific language model pretraining and retrieval improvements that measurably lifted search accuracy. Comfortable bridging research, product and infra, he’s shipped end-to-end solutions including model serving, monitoring, and prompt engineering while collaborating closely with domain experts. A practical tinkerer with front-end experience (GitHub bio notes frontend interests), he blends system-level leadership with hands-on ML engineering to turn complex, data-rich problems into operational services.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science in Engineering Computer Science, Bachelor of Science in Engineering Computer Science at Hanyang University