I'm a DevOps Engineer and cloud infrastructure enthusiast who enjoys turning
complex infrastructure problems into simple, reliable systems.
My journey started with curiosity. Back in my school days, I broke my Windows installation
while experimenting with software. Instead of giving up, I booted Fedora from a USB and started
exploring Linux. What began as curiosity gradually became a career built around understanding
how systems work.
Today, I work extensively with Kubernetes, Azure, AKS, Istio, Terraform, CI/CD, and cloud-native
infrastructure, building and operating production platforms at scale. I enjoy the parts of
engineering where there isn't always a straightforward answer — debugging an unexpected failure,
understanding why something behaves differently in production, or finding a better way to
automate a repetitive process.
DevOps Toolkit: Azure, Kubernetes, Istio, Helm, Linux, Terraform (TFE), Docker,
Git & GitHub, NGINX, Prometheus & Grafana, Azure DevOps, CI/CD, Drift Detection,
Cross-team Collaboration.
More recently, I've been exploring the world of AI infrastructure and LLM inference —
experimenting with local LLMs, running models on my own infrastructure, and learning how
technologies such as vLLM, GPU scheduling, Kubernetes inference platforms, and LLM-D fit into
the cloud-native ecosystem.
Currently Exploring: AI Infrastructure, LLM Inference (vLLM, LLM-D), GPU Scheduling,
Kubernetes Inference Platforms, Cloud-Native Architectures.
Happy to share that I've successfully passed the Certified Kubernetes Administrator (CKA) exam. ☸️
I believe the best way to learn technology is to build, break, troubleshoot, and build it again.
Outside of infrastructure, I enjoy chess, volleyball, experimenting with technology, and
exploring new ideas just for the sake of understanding how they work.
This website is my little corner of the internet where I document what I'm learning, what I'm
building, and the things I find interesting.
Always learning. Always experimenting. Always building.
