Zhiqiang Xie
PhD Candidate
Palo Alto, California, United States
Summary
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RockstarZhiqiang Xie is a PhD candidate in computer science based in Palo Alto with nine years of engineering experience focused on building high-performance systems for AI model serving. He contributes to open-source infrastructure like SGLang, where he engineered hierarchical caching, a host memory pool, and a cache controller to improve memory management and latency for large language and vision models. Combining academic research with production-grade backend work, he excels at performance optimization and system-level refactors that make large models more practical to serve at scale. Known for a hands-on approach, he blends rigorous problem-solving from doctoral study with pragmatic engineering to deliver measurable efficiency gains.
9 years of coding experience
Github Skills (10)
cuda10
memory-management10
pytorch10
deep-q-learning10
deep-learning10
inference10
python10
optimization10
multithreading9
transformer9
Programming languages (8)
Github contributions (5)
sgl-project/sglang
Jan 2024 - Apr 2025
SGLang is a fast serving framework for large language models and vision language models.
Role in this project:
Backend Engineer
Backend EngineerContributions:16 reviews, 27 PRs, 115 pushes in 1 year 2 months
Contributions summary:Zhiqiang primarily contributed to the development and optimization of the SGLang framework, focusing on memory management and caching strategies. They implemented a host memory pool for hierarchical caching and a cache controller, enhancing the system's efficiency. The user also introduced performance improvements and refactored components related to hierarchical caching, indicating a focus on optimizing large language model serving.
cudadeepseekdeepseek-llmdeepseek-r1deepseek-r1-zero
xiezhq-hermann/LeetCode-in-Python
Aug 2017 - Nov 2017
Contributions:140 commits, 52 pushes, 1 branch in 2 months
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