Hi, my name is
I build cloud platforms and AI systems for organizations where getting it wrong isn't an option.
26 years of building systems — from COBOL to Kubernetes to AI agent frameworks. Career shaped by federal tech: NOAA, HHS, FDA, VA, CMS, IRS.
Architected cloud platforms under FedRAMP/NIST 800-53, contributed to $50M+ in contracts. Now deep in AI engineering — multi-agent governance, self-healing test automation, 6x delivery acceleration.
Builds in the open, runs a production K8s homelab, cooks seriously.
AI-powered visual regression testing that catches what unit tests miss. Automated screenshot comparison with intelligent diff detection.
Codebase intelligence platform that understands your entire repository. Semantic search, dependency mapping, and AI-driven code analysis at scale.
Fully local AI voice assistant running on Apple Silicon. No cloud dependencies — private, fast, and running on a Mac Studio cluster in the homelab.
A personal platform for experimenting with distributed systems, local AI inference, and resilient infrastructure. Not a collection of hardware — a proving ground for architectural decisions before they reach production. 10 GbE core network, 120 Gbps Ceph backend, separate dev environment for staging workloads.
Currently exploring Principal Architect, Chief Architect, and VP Engineering roles. If you're solving hard problems at scale, I'd love to talk.
Say Hello