Summary
Yan Kang is a Principal Engineer and Ph.D. in Computer Science with 12 years of experience specializing in AI, machine learning, and federated learning, now leading applied research and engineering at HONOR in Shenzhen. He has an unusual blend of deep academic output—over 30 publications and an author of the book "Federated Learning"—and practical impact, having deployed multiple federated algorithms on the FATE platform and secured 11 patents from 30+ filings. Technically fluent across Python, Java, TensorFlow/PyTorch and enterprise stacks, he focuses on trustworthy, privacy-preserving ML for fragmented and annotation-scarce data environments. A collaborative leader with a strong appetite for learning, he pairs rigorous research with hands-on production delivery and a dry, "佛系" sense of humor that underscores his pragmatic approach to complex problems.
12 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Chongqing University
UMBC
Bachelor, Computer Science, Bachelor, Computer Science at Chongqing Technology and Business University
English, Chinese