Summary
Dae Nam is an AI software engineer based in Seoul with 11 years of experience building production-ready machine learning systems and computer vision solutions. He has applied deep learning to OCR and scene text detection at NAVER and now develops AI products at Upstage, combining research-grade rigor (Google Scholar presence) with hands-on engineering in PyTorch, TensorFlow and Docker. His background includes building synthetic training datasets, implementing state-of-the-art papers, and developing ToF camera inspection and 3D face-related algorithms, reflecting strong applied research-to-production skills. Comfortable across the stack from data generation to model deployment, he brings a practical, reproducible approach to challenging perception problems and a demonstrated ability to turn academic insights into real-world features.
11 years of coding experience
3 years of employment as a software developer
Goyang Foreign Language High School
Bachelor's degree, 컴퓨터 공학, Bachelor's degree, 컴퓨터 공학 at 한양대학교
Chinese, English