A collection of things I’ve built, broken, fixed, and learned from. I care about doing things right, declarative, automated, and open where it can be. Most of this lives on GitHub.

Projects

Things I’ve designed and built from the ground up.

Ovatta

My first real Go project, a configuration anonymization tool aimed at making it safe to share infrastructure configs (think public-administration compliance / EU data governance use cases). It’s where I’m learning Go properly, by building something real.

→ Repository

Spoon River Poems

When I was younger, I read this book and it stayed with me for years. That’s why i built this project, a random “Spoon River Poems” generator. It’s my small way of keeping this masterpiece alive and sharing it with anyone who might discover it for the first time.

→ Repository

https://spoonriverpoems.pages.dev/

Open Source Contributions

Contributions to tools I use, projects I admire, and things I’ve tripped over and fixed.

Professional

Day-to-day I work as an SRE/Cloud/DevOps engineer, building and operating cloud infrastructure across multiple providers and platforms.

Platforms & multi-cloud — Kubernetes in production across managed and self-managed setups: EKS, AKS, OpenShift, and Hetzner bare-metal (a deliberate choice for cost control and digital sovereignty, keeping workloads on European infrastructure). Day-to-day work spans cluster operations, workload reliability, pipeline orchestration, and designing infrastructure architectures end to end across AWS and Azure.

Infrastructure as Code & GitOps — Infrastructure defined and managed with Terraform, application and cluster config delivered through Helm and GitOps workflows. I care about reproducible, reviewable infrastructure.

CI/CD — Pipelines built and maintained in GitLab CI, covering builds, tests, artifact publishing deployments and environment management.

Tooling & automationPython and Bash for internal tooling and automation of repetitive operational tasks.

Observability & Operations — Monitoring and log aggregation with Elastic Grafana, basically the ELK stack. I care about closing the DevOps loop: acting on what monitoring tells us, not just collecting it — feeding measurements back into capacity planning, alerting thresholds, and architecture decisions.

Cost & Platform EfficiencyKubernetes optimization (resource tuning, cluster right-sizing), Artifactory management for artifacts and dependencies, and light FinOps, keeping an eye on cost and trimming waste where it makes sense.

Ways of working — Autonomous, task-driven work with self-prioritization based on impact and urgency, tracked in Jira. Beyond my own scope, I support other teams and customers with custom solutions when standard tooling doesn’t fit the need.

Homelab

No PRs, no guidelines, no blast radius to worry about, just a Proxmox + k8s cluster where I get to break things on purpose. Cluster API, Kubernetes operators, self-hosted tools, wireguard tunnels.. the more the better.