Yufeng Wan is a computer scientist with nine years of hands-on experience bridging academic research and industry work in computer vision, data analytics, and AI engineering. With a Master's in Electrical Engineering from Columbia and undergraduate studies in France, he has contributed to self-driving car research at UCLA—developing image feature extraction, segmentation, and real-time obstacle recognition—and applied that expertise to LLM fine-tuning and multimodal chatbot demos at a Web3 data startup. Fluent in English, Chinese, and French, he combines statistical learning theory with practical engineering to improve perception and dialogue systems. He has a track record of turning research prototypes into demonstrable product features, such as enabling chatbots to output image data used for company demos. Beyond coding, his background includes public engagement at cultural exhibitions and interests in skiing, piano, and cooking, reflecting a collaborative and curious mindset.
9 years of coding experience
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Columbia University in the City of New York
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Sorbonne University
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Université Paris-Saclay
Contributions:12 commits, 11 pushes, 1 branch in 3 years 2 months
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.