Zhifei Yang is a production engineer at Meta with 11 years of systems and research experience building high-performance virtualization and AI infrastructure. He previously developed system software for ByteDance’s AI stack, focusing on CUDA, Linux kernel optimization, performance, and reliability. His background blends academic research—OS kernel and CPU microarchitecture co-design at EPFL, serverless scheduling at University of Chicago, and FPGA-accelerated query work at ETH Zurich—with hands-on industry production engineering. Comfortable across low-level kernel work, RDMA-distributed training optimizations, and large-scale datacenter infrastructure, he brings both rigorous experimental methods and production-grade delivery. Based in London, he pairs a Master’s in Computer Science from ETH Zürich with a strong track record of turning research insights into scalable system designs. An often-overlooked strength is his consistent thread of hardware/software co-design thinking that informs practical performance and reliability improvements in deployed systems.
11 years of coding experience
6 years of employment as a software developer
The University of Hong Kong (HKU)
Master of Science Computer Science, Master of Science Computer Science at ETH Zürich
Bachelor of Engineering (B.E.) (with Honors) Computer Science and Technology, Bachelor of Engineering (B.E.) (with Honors) Computer Science and Technology at Harbin Institute of Technology
Contributions:86 commits, 127 pushes, 11 branches in 6 years 3 months
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