I build AI agents and production infrastructure for industrial companies. 10+ years bridging the physical world — sensors, machines, factory floors — with intelligent automation that runs unsupervised.

I take on consulting projects when the problem is interesting. If you're figuring out how AI agents, predictive maintenance, or infrastructure automation could work for your business, let's talk.

AI Agent Systems — Multi-agent platforms with MCP servers, cognitive memory, safety boundaries, and real-time infrastructure monitoring. Production systems, not demos.

Infrastructure — Kubernetes on bare metal, GitOps with ArgoCD, CI/CD pipelines, GPU passthrough for LLM inference, automated everything.

IIoT & Predictive Maintenance — Vibration analysis, sensor architectures, condition monitoring pipelines, and the analytics that keep machines running.

Python TypeScript Go Kubernetes ArgoCD OpenTofu Proxmox Prometheus Grafana PostgreSQL Qdrant FastMCP

• Tailscale Exit Node Logic: Why Auto-Select Fails for Security and How to Fix It (2026-10-12)
• Systemd Config Merges: Avoiding Silent Shadowing with Drop-ins on Fedora 43 (2026-10-09)
• Firewall Zone Persistence: Why firewalld Runtime Changes Vanish and How to Pin Them (2026-10-07)
• Invisible Text on GNOME: Fixing Qt/KDE Flatpak Theme Conflicts in Sandboxed Environments (2026-10-05)
• Trust the Tailnet, Not the Network: Automating Wi-Fi Hardening with NetworkManager Dispatchers (2026-10-02)

_{The best technology work happens at the boundary between domains.}