Zixuan Chen is an experienced software engineer and research-focused graduate student with eight years building cloud and distributed systems, now pursuing an MS in Information Networking at Carnegie Mellon University while working as a research assistant in the CMU Catalyst Group. Previously at ByteDance he helped design AI and hybrid cloud infrastructure—leading GPU instance type onboarding, autoscaling services, and event-driven failure handling for production scheduling systems. His academic background in information security from Shanghai Jiao Tong University includes hands-on research implementing a timing-balanced Byzantine Fault Tolerance protocol, reflecting a strong blend of systems engineering and security-minded research. Comfortable moving between industry-scale production problems and rigorous research, he brings practical deployment experience to CMU projects and a track record of shipping robust, scalable infrastructure.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Information Networking (Advanced Study), Master of Science - MS Information Networking (Advanced Study) at Carnegie Mellon University
Bachelor of Engineering - BE School of Computer Science, Bachelor of Engineering - BE School of Computer Science at Shanghai Jiao Tong University
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