I keep infrastructure alive, automate the boring parts, and occasionally convince AI agents to do useful work.
I'm a DevOps engineer working across cloud and on-premises environments.
My day-to-day world is a healthy mix of infrastructure, containers, automation, observability, networking, troubleshooting, and the occasional YAML-induced existential crisis. I enjoy understanding systems end to end, making them more reliable, and replacing repetitive work with tools that are actually pleasant to use.
Lately, I've been going deeper into AI agents and agentic workflows: building with them, experimenting with orchestration and MCP, and learning how they can become useful engineering teammates rather than fancy autocomplete.
- βοΈ Cloud-native and hybrid infrastructure
- π On-premises systems and homelabs
- βοΈ DevOps, automation, and platform engineering
- π¦ Containers and Kubernetes
- π€ AI agents, MCP, and developer tooling
- π§ Linux, networking, and figuring out why it works on one machine only
- π¨οΈ 3D printing, computer graphics, videogames, and space
Tools change. The habit of learning them doesn't.
Infrastructure & orchestration
Code & automation
Currently exploring
- π§ Cartographer β one of my latest experiments
- π€ Exploring agentic systems and the Model Context Protocol
- π§ͺ Breaking things in the homelab so production doesn't have to
Always learning. Usually automating. Sometimes rebooting.




