Summary
Seunghoon Lee is a software engineer with five years of experience specializing in computer vision and medical imaging, currently working at NAVIGANTIS in Seoul. He holds a master’s in electronic engineering from Inha University and has applied self-supervised learning to build a fundus foundation model and diagnostic tools at VUNO. Previously he developed segmentation and whole-slide image embedding solutions as a data scientist at Qureator, demonstrating a strong bridge between research and production. His research interests include face recognition, face anti-spoofing, and domain generalization, and he maintains an active scholarly presence via Google Scholar. Notably, he combines academic rigor with practical dataset construction and analysis skills, enabling robust model performance in clinical and vision domains.
5 years of coding experience
3 years of employment as a software developer
석사 전자공학과, 석사 전자공학과 at Inha University 인하대학교