Heyi Tang is a Senior Software Engineer with 12 years of experience building cloud-native and ML infrastructure, currently working at Moonshot AI after four years at Microsoft. He holds a PhD from Tsinghua University in Computer Systems, Networking and Telecommunications and has deep Python backend expertise applied to production systems like Azure Machine Learning. Heyi is an active open-source contributor to Microsoft’s Promptflow project, improving execution, tracing, and memory efficiency for large-scale LLM apps—a sign of hands-on experience with real-world LLM deployment challenges. Based in Beijing’s Haidian District, he combines research-grade systems knowledge with practical engineering at scale, often focusing on async orchestration and serverless integrations that reduce operational overhead.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Systems Networking and Telecommunications, Doctor of Philosophy (PhD) Computer Systems Networking and Telecommunications at Tsinghua University
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Role in this project:
Back-end Developer
Contributions:1158 reviews, 139 PRs, 199 pushes in 10 months
Contributions summary:Heyi primarily contributed to the Promptflow project by addressing core issues related to execution and tracing. Their work involved removing legacy utility code, implementing fork-based memory optimizations for bulk runs, and refactoring code to improve the handling of asynchronous operations. The user also addressed bugs related to connection types for LLM nodes and added serverless connection support. In addition, their contributions included updates to tracing logic.
Contributions:17 PRs, 41 pushes, 12 branches in 1 year 11 months
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Heyi Tang - Senior Software Engineer at Moonshot AI