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
- Systemd-tmpfiles vs Plex: When /tmp Aging Breaks EAC3 Transcoding (2026-08-19)
- Tailscale Kernel TUN in Unprivileged LXC: Direct SSH Without Userspace Networking (2026-08-14)
- Pushgateway Heartbeat Gotcha: When ndots and NetworkPolicy Silently Eat Your Alerts (2026-08-12)
- FastMCP Agent Mail: RBAC Tokens vs Anonymous Access, and the 403 Errors in Between (2026-08-10)
- Kyverno allowLatestTag Pitfalls: How Policy Can Stop Pods From Restarting (2026-08-07)
The best technology work happens at the boundary between domains.
