Xiuyu Li is a machine learning systems engineer with eight years of experience building efficient, scalable ML infrastructure across industry and academia. Based in Berkeley, she has held research and engineering roles at NVIDIA, Meta, Together AI, and currently xAI, combining hands-on model development with production-focused system design. Her background includes research leadership at Cornell and hands-on work at MIT, giving her a strong foundation in both theoretical ML and large-scale implementation. Xiuyu’s interests center on making ML models and pipelines performant across diverse data types, and she brings practical teaching experience from multiple university courses. Colleagues know her for bridging research rigor with pragmatic engineering—she even quips “in the long run we are all dead,” reflecting a pragmatic, impact-oriented mindset.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of California, Berkeley
Bachelor's degree Computer Science and Mathematics, Bachelor's degree Computer Science and Mathematics at Cornell University
Contributions:69 commits, 86 pushes, 9 branches in 3 years 1 month
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