Huang Yuefeng is an AI architect with 11 years of experience who has led the introduction of computer vision and NLP into product lines across two companies, now shaping AI strategy at HSBC in Shanghai. He blends PhD-level research insight in geographic information science with hands-on engineering, delivering prototypes to production using TensorFlow, PyTorch, C++ and embedded/mobile inference stacks (TensorRT, TF Lite, NCNN). A prolific inventor, he’s proposed AI solutions for about 20 industrial scenarios and is named on roughly 40 patents, reflecting a strong instinct for practical, novel applications. His background includes technical leadership at Samsung and applied data science at Zoomlion, giving him deep experience in real-time video, cloud deployment, and hardware selection for edge AI. Colleagues describe him as both the academic thinker and the pragmatic implementer who optimizes for latency and accuracy in resource-constrained environments.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Geographic Information Science and Cartography, Doctor of Philosophy - PhD Geographic Information Science and Cartography at University of Chinese Academy of Sciences
Bachelor of Science - BS Geographic Information Science and Cartography, Bachelor of Science - BS Geographic Information Science and Cartography at Nanjing University
Contributions:161 commits, 14 PRs, 115 pushes in 5 months
spring-bootspringbootspringjavamybatis
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.