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Jeetendra Patil
Engineering Manager specializing in MLOps/DevOps and CI/CD for deep learning platforms
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About
Player-coach engineering leader focused on AWS ML infrastructure and deep learning image delivery: provisioned EKS/Kubernetes for multi-node training and automated image release pipelines (Python + AWS CDK) to cut release time from 2 weeks to 1. Also built customer migration tooling for SageMaker HyperPod and owned a security incident end-to-end, implementing prevention tests and process improvements.
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Key Strengths
- End-to-end ownership from idea/design through implementation and review
- Cut deep learning image release cycle from 2 weeks to 1 week via automation (Python + AWS CDK)
- Large-scale refactor reducing codebase from ~2000 to ~800 lines to improve reviewability/maintainability
- Built EKS-based Kubernetes infrastructure for multi-node distributed training workloads
- Turned ambiguous stakeholder request into a shipped customer tool enabling migration to SageMaker HyperPod
- Improved CI reliability with retry mechanisms and smarter GPU/cross-region capacity-aware testing
- Owned security production incident end-to-end (IR plan, image takedown, RCA, prevention tests/COE)
- Player-coach leadership: ~40–50% time on management (1:1s, blockers, sprints, roadmap, leadership reporting) while staying hands-on
- Coached underperforming engineer with runbooks/docs to unblock delivery and hit timeline
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