Huibing Dong
Software Engineer at Google
Minnesota, United States
Summary
👤
Senior🎓
Top SchoolHuibing Dong is a software engineer and PhD candidate at the University of Minnesota with nine years of experience building distributed systems and ML infrastructure. He focuses on distributed LLM serving (batching, caching, scheduling, sharding), learned indexes, SQL optimization, and emerging storage/memory tech such as CXL and ZNS. Huibing has industrial experience accelerating LLM inference and productionizing inference at Google Vertex and internships across HPE, Futurewei, and FlowGPT, tying academic research to real-world systems. His work blends systems research—often applying AI to data distribution problems—with hands-on engineering for storage, key-value stores, and disaggregated memory architectures. Based in Minnesota, he brings both formal methods exposure (TLA+) and practical optimizer/AlloyDB experience from Google internships. Colleagues describe him as someone who bridges deep research insight with pragmatic, performance-driven system design.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of MinnesotaBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Shandong University
Github Skills (28)
python9
machine-learning9
gpu9
deep-learning8
discovery8
information-gathering7
neural-network7
numpy7
blueteam7
tensorflow7
gpu-acceleration6
tensor6
autograd6
acceleration6
pattern5
Programming languages (3)
Github contributions (5)
gdymind/gdymind.github.io
Jul 2016 - Jan 2022
Contributions:76 pushes, 1 branch, 1 comment in 5 years 6 months
gdymind/Awesome-learned-index
Jul 2022 - Sep 2022
Contributions:5 commits, 43 pushes in 1 month
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