Summary
Kyeongpil Kang is an assistant professor and machine learning researcher with 11 years of experience spanning academia and industry, holding a Ph.D. in Computer Engineering from Korea University. His work focuses on machine learning, deep learning, NLP, and data mining, informed by research roles at KAIST, ScatterLab, and industry stints including SK Telecom and goorm. He combines rigorous academic training (high GPAs and a doctoral publication record) with hands-on applied research, having transitioned from postdoc and research roles into a faculty position at Kangwon National University. Notably, he has experience bridging product-oriented research teams and academic labs, bringing published expertise to practical ML problems. Based in Seoul, he maintains an active GitHub presence and CV detailing his publications and projects.
11 years of coding experience
4 years of employment as a software developer
박사, Computer Engineering, 4.32, 박사, Computer Engineering, 4.32 at 고려대학교
이, 이 at 제주대학교사범대학부설고등학교
제주어, English