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Designs, builds, and operates GPU clusters (on-prem and cloud) for AI/ML workloads, focusing on scheduling, scaling, cost optimization, and reliability in a Kubernetes-heavy DevOps environment.
Leads the design and implementation of AI/ML platform architecture, DevOps practices, and CI/CD pipelines for an education-focused company, while mentoring engineers and establishing security and compliance standards.
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