Zhicheng Cai is a software engineer with a decade of experience, currently building infrastructure and automation at Google from Kitchener, Ontario. He blends systems-level engineering with research rigor—his master's and research work touched programming languages and smart contracts—while focusing professionally on DevOps and automation. Notably, he contributed to the high-profile open-source FuzzBench project by integrating a new fuzzer, refactoring filestore abstractions, and adding local experiment support via rsync and Docker tooling. A persistent learner in CS and life, he brings curiosity-driven problem solving to scalable build and CI workflows and a track record of making complex pipelines more testable and portable.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Wisconsin-Madison
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Nanjing University
Non-Degree, Computer Science, Non-Degree, Computer Science at University of Waterloo
Contributions:32 commits, 60 PRs, 20 pushes in 4 months
Contributions summary:Zhicheng integrated a new fuzzer, "Ankou," into the FuzzBench framework, involving the creation of Dockerfiles for builder and runner environments. They refactored file store operations, replacing Google Cloud Storage (GCS) utilities with a more abstract filestore interface, and added support for local experiments by integrating rsync for local file synchronization. The user also made various configuration adjustments, including renaming cloud-related parameters and modifying how Docker images are built and managed within the experiment environment. They also implemented testing to ensure the jobs' dependencies are maintained during image building.
Contributions:28 pushes, 3 branches in 7 years 7 months
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