Azret Kenzhaliev is a Site Reliability Engineer with a decade of experience building and hardening AI/ML infrastructure at Google DeepMind and Google UK, where he’s driven major reliability, performance, and cost-savings initiatives for systems that host Gemini models and crowd-sourcing pipelines. He has a proven track record reducing latency and toil—implementing autoscaling and Spanner improvements that cut median latencies up to 86% and accelerated schema-change rollout from a week to 24 hours—while earning multiple internal awards and peer bonuses. Earlier roles at Yelp, Palantir, and Skelter Labs show deep systems and distributed-systems expertise, from Kubernetes/networking and Docker/CNI optimizations to large-scale crawlers and probabilistic cardinality algorithms. He co-founded VisaKG to solve practical visa-scheduling problems and contributes to open-source DevOps tooling (notably improvements to Yelp’s PaaSTA), reflecting a knack for operationalizing complex systems end-to-end. Based in London and trained at KAIST, he combines hands-on engineering with cross-functional leadership and a curiosity that spans algorithmic research to production reliability.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Korea Advanced Institute of Science and Technology
Contributions:24 commits, 18 PRs, 43 pushes in 5 months
Contributions summary:Azret's contributions primarily focused on improving the PaaSTA platform's infrastructure and release processes. They added checks to ensure Kubernetes pods are identified correctly and implemented validation for secret names within the PaaSTA CLI. The user also made changes related to Kubernetes node cleanup and automated releases. This work streamlined deployments and improved the reliability of the platform.
Contributions:25 commits, 1 push, 1 branch in 20 days
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Azret Kenzhaliev - Site Reliability Engineer at Google