Siyuan Zhuang is a Berkeley-based software engineer and CS PhD researcher with 10 years' experience building high-performance distributed systems and ML infrastructure. He has driven core contributions to influential open-source projects—vLLM, Ray, Skypilot, and components of Apache Arrow—that power scalable model serving, orchestration, and fast in-memory analytics. At Berkeley RISE Lab he helped develop tooling like Chatbot Arena and MT-Bench, blending research-grade evaluation with production-ready systems. He brings hands-on expertise across backend, DevOps, and cloud provisioning (multi-cloud GPU provisioning and Ray workflow reliability), plus practical ML engineering such as photorealistic style transfer optimizations. A former provincial science Olympiad champion in multiple STEM subjects, Siyuan pairs deep theoretical rigor with pragmatic engineering to move novel ML research into reliable deployments. Currently on the leadership team at a stealth startup, he continues to focus on making large-model workflows efficient, reproducible, and cost-effective.
10 years of coding experience
5 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 of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at University of Science and Technology of China
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Role in this project:
Back-end Developer
Contributions:286 reviews, 208 commits, 419 PRs in 5 years 1 month
Contributions summary:Siyuan primarily contributed to the Ray project's core functionality through the implementation of workflow tasks. They fixed bugs, such as the "hyperopt_adaptive" example and the "tempfile" documentation. Additionally, they made significant changes to core components, improving the way they manage resources and handle data within the project. Their work touches upon core Ray infrastructure, specifically focusing on improving the reliability and efficiency of the system.
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 16+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Role in this project:
DevOps Engineer & Cloud Engineer
Contributions:92 reviews, 70 commits, 23 PRs in 1 year
Contributions summary:Siyuan primarily focused on improving the setup and infrastructure of the SkyPilot project. Their commits include fixing and updating setup files, standardizing python package setups, and implementing general engineering practices. The user also reorganized remote libraries and implemented the new provisioner with AWS support. These changes demonstrate a strong focus on automating builds and deployments, and managing cloud resources.
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Siyuan Zhuang - Leadership Team at Stealth Startup