About me.

I architect sovereign cloud platforms that give organizations full control over their data and AI workloads. In an era where data sovereignty, regulatory compliance, and AI privacy are critical business concerns, I help companies move off public clouds and into private, hardened infrastructure built on open-source foundations like Kubernetes, Cluster API, and Talos Linux.

Go is my language of choice for building infrastructure tooling. Its simplicity, concurrency model, and powerful standard library make it ideal for Kubernetes operators, CLI tools, and platform APIs. I've built custom operators for database lifecycle management, written provisioning controllers with Cluster API, and developed internal developer platforms that let engineering teams self-service infrastructure without touching YAML.

On the networking and security side, I specialize in Cilium and eBPF for identity-based, zero-trust networking, essential for meeting modern compliance requirements. I pair this with OpenBao for sovereign secrets management, ensuring client keys and sensitive data never leave the organization's perimeter. My DevSecOps approach automates security patching, policy enforcement, and governance from day one.

I'm deeply passionate about edge-AI and on-premise inference. Running large language models on local GPU hardware with tools like LocalAI and vLLM means organizations can fine-tune models on proprietary data without sending a single token to a third-party API. I design the full inference stack, from GPU provisioning to OpenAI-compatible API endpoints, so teams get the power of AI without sacrificing data sovereignty.