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JP
Jeetendra Patil
Engineering Manager specializing in MLOps/DevOps and CI/CD for deep learning platforms
Santa Clara, CAEngineering Manager (Senior SDE)14 years experienceDirectorCloud ComputingTechnologyArtificial Intelligence & Machine Learning
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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.
Experience
Engineering Manager (Senior SDE)Amazon Web Services
Senior Site Reliability EngineerSnapsheet Inc.
Software Engineer in Test InternBrightcove Inc.
Software Engineer in TestCognizant Tech. Solns.
Education
The University of Texas, Arlingtonmaster, Computer Science (2017)
Shivaji University, Indiabachelor, Computer Science (2009)
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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