Pengyun Zhao is a Senior Software Engineer with eight years of experience specializing in GPU collectives and ML/HPC networking at Google, where she progressed from intern to senior engineer. Her background spans kernel and eBPF work on Linux networking, cloud-native security tooling on AWS, and simulation/ML integration using Unity and Python from her research at CMU and Michigan. She combines systems-level performance optimization with practical cloud and data-pipeline engineering, demonstrated by designing eBPF-based flow matching for GSO/GRO and building scalable SIEM components. Based in Sunnyvale, she brings academic rigor from Carnegie Mellon and University of Michigan to high-performance production systems and occasionally bridges research and production through simulation and tooling for ML workflows.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science Engineering, Bachelor of Science - BS Computer Science Engineering at University of Michigan
Master of Science in Information Technology Mobility, Master of Science in Information Technology Mobility at Carnegie Mellon University
Bachelor of Science in Engineering Electrical and Computer Engineering, Bachelor of Science in Engineering Electrical and Computer Engineering at Shanghai Jiao Tong University
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