Hanyu Li is a senior machine learning engineer in California with eight years of experience building scalable ML systems across computer vision, ads ranking, and large-scale ML platform engineering. With a PhD in computational neuroscience, he has deployed terabyte-scale 3D segmentation pipelines on supercomputers and led distributed morphology classification work at Google that improved state-of-the-art accuracy. At ByteDance and TikTok he focused on ML platform reliability, GPU scheduling, LLM pretraining stability, and signal enrichment for conversion prediction, often shipping production-grade distributed pipelines. He combines deep theoretical grounding in neuroscience with pragmatic software engineering, making him comfortable from MPI-based HPC deployments to cloud-native GPU orchestration. A distinguishing thread in his career is translating connectomics research into production systems that scale across clusters and cloud environments.
8 years of coding experience
7 years of employment as a software developer
The University of Hong Kong (HKU)
Master of Science (MS) Computer Engineering, Master of Science (MS) Computer Engineering at Columbia University
Doctor of Philosophy - PhD Computational Neuroscience, Doctor of Philosophy - PhD Computational Neuroscience at University of Chicago
Contributions:59 pushes, 1 branch, 1 tag in 2 years 7 months
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