Qi Zhang is a research scientist with six years of industry experience building secure, AI-accelerated systems and large-scale model serving platforms for hybrid cloud environments. Currently at Meta after a research staff role at IBM Watson, Qi has blended deep systems research—confidential computing for Kubernetes/Openshift, virtualization, and blockchain performance—with practical production deployment. Their academic background (PhD from Georgia Tech) underpins work on VM and shared-memory optimizations for big-data and graph workloads, enabling higher throughput in virtualized infrastructures. Qi’s profile reflects a rare mix of low-level performance tuning for IBM System Z and cloud-native model serving expertise, making them fluent across old and new enterprise stacks. Based in the New York City area, they pair rigorous research instincts with hands-on platform engineering to move advanced security and AI features from prototype to production. Despite a self-described “little nervous” GitHub bio, their career shows consistent impact across academia and industry.
Sui, a next-generation smart contract platform with high throughput, low latency, and an asset-oriented programming model powered by the Move programming language
Contributions:11 pushes, 1 branch in 3 years 5 months
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