Journey
A calm, systems-first path focused on reliability, developer enablement, and cloud automation that teams can trust.
Implemented self-hosted GitHub Actions runners using Docker-in-Docker principle to solve caching bottlenecks. Runners store cache on the same server, achieving 95% faster builds compared to GitHub's native runners. This solved the caching issues that emerged during the Jenkins to GitHub Actions migration.
Created a unified GitHub Actions CI/CD pipeline for multi-cloud deployments. Single pipeline handles deployments across both AWS and GCP, with proper input validations and customized workflows. Implemented robust rollback mechanisms ensuring safe deployments across cloud boundaries.
Implemented resource-level isolation in Kubernetes clusters using taints and tolerations. Enabled multiple broad environments to run securely in the same cluster while maintaining proper boundaries and resource allocation.
Joined as Platform Engineer focusing on Kubernetes platforms. Led migrations from ECS to Kubernetes and Cloud Run to GKE. Transitioned from Jenkins to GitHub Actions, solving caching challenges and modernizing the CI/CD infrastructure.
Implemented comprehensive monitoring solution using Prometheus with service discovery to automatically collect metrics from all services. Integrated with Grafana to create developer-friendly dashboards providing high-level performance overviews and operational insights.
Introduced Jenkins-based CI/CD pipeline, eliminating manual builds and deployments. Reduced deployment friction significantly and removed dependency on DevOps team for routine deployments and rollbacks. Implemented automated rollback mechanisms to safely revert to previous versions when needed.
Optimized AWS infrastructure costs by migrating EC2 instances from t3 class to t3g (burstable) instances. Leveraged ECS capacity providers for better resource management. Achieved 35% cost reduction while maintaining performance and reliability.
Began as DevOps Engineer working with AWS and Jenkins. Managed production workloads on ECS, focusing on reliability, automation, and infrastructure optimization. Built foundation in cloud infrastructure, containerization, and deployment practices.