DevOps Engineer
I started my career as a Linux system administrator, where I spent a lot of time manually maintaining servers, troubleshooting production issues, and writing small scripts to automate repetitive tasks. That experience made me realize that every recurring operational problem was an opportunity to build a better system rather than fixing the same issue repeatedly.
As cloud technologies became mainstream, I transitioned into DevOps and Platform Engineering. Over the years, I moved from managing infrastructure to designing platforms that enable engineering teams to build and deploy software reliably at scale. I've worked across AWS and GCP, built Kubernetes platforms, automated infrastructure using Terraform and OpenTofu, implemented GitOps practices, and led cloud migrations and SOC2 initiatives.
What makes my journey unique is my focus on solving platform-wide problems instead of individual infrastructure tasks. Whether it was reducing cloud costs by redesigning Kubernetes infrastructure, building a centralized observability platform that correlated metrics, logs, and traces, or creating self-service automation that reduced provisioning time from days to under an hour, I've always been driven by improving developer experience and operational efficiency.
More recently, I've been exploring AI-assisted operations. Rather than treating AI as a standalone feature, I've integrated it into operational workflows to help engineers investigate incidents faster, analyze infrastructure issues with live context, and automate routine troubleshooting. I believe AI will become a fundamental capability of modern platform engineering, and I'm excited to be working at the intersection of cloud infrastructure, observability, automation, and intelligent operations.