John Zhu is a Principal Software Engineer based in Cupertino with 9 years of experience building cloud-native, security-focused distributed systems and full-stack applications. He brings deep hands-on expertise in Java, Python, C/C++, and AWS to design scalable microservices, optimize performance, and implement AI-driven pipelines for real-time inspection and policy enforcement. At Proofpoint he led refactors that improved performance by 30%, built fault-tolerant backend infrastructures, and integrated Amazon Bedrock and RAG for automated classification and anomaly detection. His background spans performance-sensitive embedded and medical systems, SoC platform bring-up, and mobile VPN backends—demonstrating a rare blend of low-level systems engineering and cloud-scale architecture. Known for turning large legacy codebases into modular, observable platforms, he also has experience creating secure integrations with proxy vendors and building decision engines for behavioral access control. Outside active GitHub work, he maintains a machine learning engineering perspective that informs practical AI/ML adoption in production security systems.
9 years of coding experience
16 years of employment as a software developer
B.S. Optical Physics, B.S. Optical Physics at Wuhan University
Master Computer Engineering, Master Computer Engineering at Chinese Academy of Sciences
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