Summary
Kilho Kim is an AI Engineer based in Seoul with 12 years of experience translating deep learning research into production-grade vision and language applications. He has led R&D teams at Cognex and SUALAB developing core deep learning algorithms for automatic visual inspection, and now builds LLM-driven apps at Syncly (YC W23). Proficient in Python, JavaScript, Go and PyTorch, he bridges ML research and web deployment using FastAPI and React to ship end-to-end systems. His background in industrial engineering from Seoul National University underpins a strong emphasis on practical, data-driven solutions for manufacturing and inspection use cases. Unusually for an engineer with his research pedigree, he pairs hands-on model work with full-stack implementation experience, enabling rapid prototyping to production rollouts.
12 years of coding experience
6 years of employment as a software developer
Master of Science (MS), Industrial Engineering, Master of Science (MS), Industrial Engineering at Seoul National University
Korean, English