Summary
Hao-ming Fu is a research scientist with eight years of experience applying machine learning to computer vision and information retrieval, currently working at Axon and enrolled in Carnegie Mellon's MS in Computer Vision program. He has a track record of turning research into production impact — from building CNNs that detected PCB defects for IBM to deploying transformer-based user representations and fine-tuning LLMs to boost email CTR at Nextdoor. His academic work at National Taiwan University produced publications at SIGIR and RecSys, and he has contributed to perception and recommendation research during internships at Snap. Comfortable bridging theory and engineering, he excels at tackling noisy, imbalanced real-world data with practical solutions like data augmentation, class weighting, and certainty estimation. Notably, he combines a physics undergraduate background with deep learning expertise, which informs a rigorous, measurement-driven approach to problem solving.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at National Taiwan University
Master of Science - MS Computer Vision, Master of Science - MS Computer Vision at Carnegie Mellon University