Ze Zhang is a software engineer and ML systems specialist with a decade of experience designing compiler optimizations and infrastructure to accelerate deep learning workloads. Currently at Meta SuperIntelligence Labs, he focuses on infra-level performance wins that bridge research and production. His background includes building end-to-end ML compiler stacks at Cruise and research roles and internships at Meta and Microsoft during a PhD in Computer Science & Engineering from the University of Michigan. Ze blends academic rigor with hands-on systems engineering, routinely translating compiler research into deployable tooling for large-scale models. Based in Kirkland, WA, he’s known for squeezing execution efficiency out of complex ML pipelines—an often underappreciated but high-impact lever in model deployment.
10 years of coding experience
Doctor of Philosophy - PhD Computer Science & Engineering, Doctor of Philosophy - PhD Computer Science & Engineering at University of Michigan
Tensor Compute Primitives: Mid-level Intermediate Representation for Machine Learning Programs
Contributions:2 PRs, 55 pushes, 20 branches in 1 year
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