Yar Phyo is a Software Engineer IV based in Bellevue, WA with a decade of experience building Linux, Kubernetes, and container platform tooling. Currently at Databricks, he focuses on disk storage (CSI), container runtime (CRI), Kubernetes, and compute efficiency for services that provision millions of VMs daily. His work spans storage autoscaling for cloud Spark workloads to runtime and OS-level platform improvements, reflecting deep systems and distributed-systems expertise from internships at Databricks and Meta. He holds a Master’s in Computational Data Science (Systems) from Carnegie Mellon and a BS in Information Systems, blending rigorous academic training with production-first engineering. A former military officer, he brings operational discipline and a systems mindset to large-scale reliability and performance problems. Colleagues rely on him for pragmatic, low-level solutions that materially improve efficiency at cloud scale.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Information Systems, Bachelor of Science - BS Information Systems at Singapore Management University
Master of Computational Data Science - Systems, Master of Computational Data Science - Systems at Carnegie Mellon University
Contributions:52 commits, 14 PRs, 47 pushes in 8 months
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