Qiancheng Wu is a Senior Software Engineer specializing in network, infrastructure, and AI security with nine years of experience building scalable defenses for global systems. Currently at Roblox, he designs visibility, detection, and prevention layers that protect millions of users and manages projects from perimeter audits to a centralized AAA service for network devices. His background blends rigorous research—an M.S. in EECS from UC Berkeley studying under Sanjit A. Seshia—with hands-on production work at AWS where he built an IPv6 monitoring system and secure serverless APIs. Qiancheng has a track record of translating academic ideas into operational tooling, from unsupervised environment design research to automated CI/CD and monitoring pipelines. Comfortable across cloud-native stacks, deep learning experiments, and security automation, he brings both defensive engineering and ML insight to hard infrastructure problems. Based in Beijing, he combines global-scale production experience with a curiosity for reinforcement learning and AI-driven security.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Electrical Engineering and Computer Science, Master of Science - MS, Electrical Engineering and Computer Science at University of California, Berkeley
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