Yuchen Zeng is a Member of Technical Staff with a decade of experience building low-level, high-performance systems, currently based in Mountain View and working at Microsoft AI. Previously a Senior Software Engineer at Google, he contributed to gRPC C/C++ and platform projects like Stadia and Android XR, demonstrating strong expertise in distributed systems and native code. His open-source work on the flagship grpc/grpc repository shows a focus on robustness—debugging, refactoring, and fixing end-to-end tests in C to harden core RPC behavior. He combines rigorous academic training from Tsinghua and Columbia with hands-on engineering across research, virtualization, and cloud-native services. Known for digging into tricky build and server-response edge cases, he brings a pragmatic, test-driven approach to reliability. Colleagues can expect a systems-minded engineer who balances deep codecraft with production-scale thinking.
10 years of coding experience
13 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Columbia University
Master of Science (M.S.) Electronic Engineering, Master of Science (M.S.) Electronic Engineering at Tsinghua University
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Role in this project:
Back-end Developer
Contributions:1 release, 677 commits, 345 PRs in 2 years
Contributions summary:Yuchen appears to be involved in debugging and refactoring the gRPC codebase, with commits focused on fixing issues within the core end-to-end tests and related utilities. Their contributions include fixing build issues and handling specific server responses, with a clear focus on bad server response tests. The user's work involved modifying C code and test scripts to improve the robustness and correctness of the gRPC framework.
The C based gRPC (C++, Node.js, Python, Ruby, Objective-C, PHP, C#)
Contributions:574 pushes, 209 branches in 2 years
objective-ccpppythonc-nodenode-js
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Yuchen Zeng - Member Of Technical Staff at Microsoft AI