Guantao Liu
Staff Software Engineer at Google
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolGuantao Liu is a Staff Software Engineer in Sunnyvale with eight years of experience specializing in high-performance RPC systems at Google, where he has advanced from Software Engineer II to his current staff role. He holds a Ph.D. and M.S. in Computer Systems and Software from UC Irvine and a B.Eng. in Information Engineering, bringing deep academic rigor to production-grade distributed systems. Guantao contributes to core open-source projects like grpc, adding performance metrics and tooling that reflect a focus on observability and benchmarking in large-scale RPC stacks. His background includes kernel and GPU-accelerated systems work—from a Linux kernel packet-debugging module at Arista to CUDA-optimized regex engines at Samsung Research—demonstrating an uncommon blend of low-level performance engineering and distributed systems design. Colleagues describe him as a practitioner who translates research-grade ideas into measurable improvements in latency and throughput across complex cloud services.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Information Engineering, 93.9/100, Bachelor of Engineering (B.Eng.), Information Engineering, 93.9/100 at Southeast UniversityMaster of Science (M.S.), Computer System and Software, 4.0/4.0, Master of Science (M.S.), Computer System and Software, 4.0/4.0 at University of California, Irvine
English, Chinese
Github Skills (6)
c-language10
cprogramming-language10
grpc10
performance-testing10
metric9
testing8
Programming languages (1)
Github contributions (4)
grpc/grpc
Jul 2017 - Jan 2020
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 95 commits, 43 PRs in 2 years 6 months
Contributions summary:Guantao made several contributions related to the performance and metric tracking of the gRPC system. They added a new metric related to queries per CPU-second and enabled internal credential types. The changes included modifications to the driver and report files, indicating a focus on performance testing and reporting. These additions suggest the user was involved in optimizing and monitoring the gRPC codebase.
objective-ccpppythongrpcphp
guantaol/grpc
Jul 2017 - Jul 2017
Contributions:4 PRs, 2 pushes, 1 branch in 1 day
objective-ccpppythonc-nodenode-js
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