Keyang Xu is a machine learning researcher and engineer with 11 years of experience building large-scale media generation and search systems, currently a Member of Technical Staff at xAI. Previously at Google he helped ship fast, scalable generative models including Imagen and Veo families, and his background spans academic research roles at Columbia and Carnegie Mellon where he pursued a PhD in Computer Science and an MS in Language Technologies. He combines deep research chops with production engineering from internships and industry roles at Apple and Petuum, delivering models that bridge state-of-the-art research and deployable systems. Based in New York, he maintains a public technical presence via his website and GitHub while focusing on efficient model design and evaluation for multimedia generation. A not-obvious strength is his long-running focus on information retrieval and diversified search, which informs his approach to evaluation and robustness in generative systems.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering Software Engineering, Bachelor of Engineering Software Engineering at Beihang University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Columbia University
Master of Science - MS Master of Language Technologies, Master of Science - MS Master of Language Technologies at Carnegie Mellon University
Contributions:25 pushes, 1 branch in 3 years 1 month
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