I don't just build pipelines; I architect the digital nervous system that empowers engineering teams to deliver exceptional software—faster, safer, and at scale. My unique expertise lies at the nexus of Industrial Automation (OT) and Cloud-Native Infrastructure (IT), allowing me to design systems that are not only robust and scalable but also deeply integrated with real-world operations.
My mission is to cultivate a culture of elite engineering by treating infrastructure as a product, championing automation, and making data-driven decisions the standard, not the exception.
My approach to DevOps is founded on these core principles:
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Platform as a Product: I build internal developer platforms (IDPs) that prioritize developer experience (DevEx). The goal is to provide engineering teams with self-service, automated, and secure pathways to production, abstracting away the complexity of the underlying infrastructure.
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Declarative Everything (GitOps is Law): The desired state of all infrastructure, applications, and policies is defined as code in Git. This ensures a single source of truth, complete auditability, and automated reconciliation, effectively eliminating configuration drift.
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Elite Observability: You cannot improve what you cannot see. I implement comprehensive observability stacks (Metrics, Logs, Traces) not as an afterthought, but as a core feature of the system, enabling proactive issue detection and deep performance analysis.
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Security as a Design Principle (DevSecOps): Security is integrated into every phase of the SDLC ("Shift Left"). I automate security checks, vulnerability scanning, and policy enforcement directly within the CI/CD pipeline to build secure systems from the ground up.
My toolbox is curated to build and manage modern, cloud-native platforms.
| Category | Core Technologies |
|---|---|
| Container Orchestration |    |
| IaC & Automation |    |
| CI/CD & GitOps |    |
| Observability |     |
| Languages & Data |     |
| Industrial IoT (OT) |   |
- Challenge: An organization with a monolithic application suffered from slow (bi-weekly), high-risk manual deployments, leading to significant downtime and developer frustration. There was zero visibility into production performance.
- Action:
- I led the initiative to containerize the application with Docker and decompose critical services into microservices.
- Architected and provisioned a resilient Kubernetes cluster on AWS using Terraform.
- Designed and implemented a complete CI/CD and GitOps workflow using GitHub Actions for building/testing and ArgoCD for safe, automated deployments.
- Established a full Observability stack with Prometheus for metrics and Grafana for dashboards, providing unprecedented insight into system health.
- Result (Impact):
- ✅ Deployment Frequency: Increased from bi-weekly to multiple deployments per day.
- 📉 Change Failure Rate: Reduced by 85% due to automated rollbacks and canary testing patterns.
- ⏱️ Mean Time to Recovery (MTTR): Dropped from hours to under 5 minutes.
- 💡 Empowered Developers: Freed up developers to focus on feature delivery instead of deployment troubleshooting.
I'm passionate about solving complex problems and collaborating with talented teams. If you're building a world-class engineering organization, let's talk.