I am a DevOps Engineer and Computer Science undergraduate driven by an obsession with automation. My journey really accelerated through hands-on homelab tinkering. I run a highly customized Proxmox VE node that serves as my personal proving ground for infrastructure concepts.

My homelab architecture is isolated by a virtualized OpenWrt router, ensuring all my VMs and services stay within a controlled LAN segment regardless of the physical WAN. Within this environment, I manage a complex Docker Compose multimedia orchestration stack (the 'arr' suite plus Jellyfin), which taught me the intricacies of container networking. I also maintain instances of n8n for automation and OpenMediaVault as my NAS, alongside a dedicated development VM where I recently spun up Minikube to complement my Kubernetes certifications. I use Tailscale to securely access and experiment with this infrastructure from anywhere.

Right now, my primary focus is operating Openclaw — an open-source autonomous AI agent framework hosted in my homelab within restricted VMs. By supplying Openclaw with the Gemini CLI and custom abilities via its skills system, it can autonomously build applications for me. I manage its configuration purely through GitOps concepts: I define its SKILL.md files and configurations locally, push to a remote repository, and sync those changes directly into the instance for hot-reloading. Exploring Retrieval-Augmented Generation (RAG) agent workflows in this setup has been a game-changer.

Outside of tech, I appreciate stories that focus on origin journeys and character evolution — particularly in shows like Better Call Saul and Mr. Robot, where small decisions and constraints shape long-term outcomes. That same way of thinking naturally carries over to my approach to system design and continuous improvement: architecture is just a series of small, critical decisions that compound over time to define reliability.