Summary
Keonmin Nam is an AI Engineer with 8 years of experience and 4+ years focused on computer vision and image generation/translation, currently driving generative AI initiatives at cocone. He has a proven track record in startups, helping grow a company from inception to over 1 billion KRW in revenue and often acting as the sole engineer responsible for both research and production. Keonmin’s work spans patented product features (notably a virtual hair dyeing algorithm that outperformed major apps), face restoration for media thumbnails, and a Korean face-specialized image generation model. Comfortable moving research into live services, he has repeatedly improved AI feature performance and latency by 30%+ and led cross-institution collaborations with KAIST, KBS, and ETRI. An active builder and open-source experimenter, he enjoys rapidly prototyping PoCs and shipping libraries that push creative media applications.
8 years of coding experience
4 years of employment as a software developer
학사, Computer Engineering, 3.97 / 4.5, 학사, Computer Engineering, 3.97 / 4.5 at 서울과학기술대학교