Hao-ning Wu is a research engineer specializing in the intersection of machine learning and computer architecture, currently working at Google DeepMind after contributing to Google's Image Understanding team. With a decade of experience, he focuses on hardware/software co-optimization to make AI models more efficient, including practical work on DNN layer transformations and parameter pruning that cut VGG16 size by 25% without losing accuracy. He brings hands-on GPU/ML accelerator programming experience from industry internships and has built end-to-end systems—from image retrieval services to co-processor projects tied to RISC-V cores. Based in Mountain View, he combines academic rigor from NYU and National Tsing Hua University with production engineering at scale, and his background even includes leadership and operational experience as a Taiwanese army officer, which informs his collaborative and disciplined approach.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at National Taiwan University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at National Tsing Hua University
Contributions:30 commits, 24 pushes, 1 branch in 1 month
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Hao-ning Wu - Research Engineer at Google DeepMind