Summary
Kimin Lee is a researcher-turned-founder with nine years of experience at the intersection of machine learning research and product-grade AI systems. He recently co-founded and serves as Chief Scientist at Config while maintaining an assistant professorship at KAIST, bridging academic rigor with startup execution. His background includes research scientist work at Google and a postdoc at Berkeley AI Research, and his doctoral training at KAIST focused on machine learning, grounded earlier in electrical engineering and wireless networks. Kimin frequently moves ideas from papers to prototypes, emphasizing reproducible research and practical deployment. He splits time between teaching, mentoring graduate research, and building ML-driven products—an uncommon mix that smooths the path from novel algorithms to real-world impact. For deeper technical details and projects he maintains a public homepage linking his publications and code.
10 years of coding experience