I build AI-orchestrated infrastructure tools. Every engagement leaves behind a system the next engineer can ask.
Five layers. Advisory at the base. Deterministic enforcement in the middle. Validated knowledge at the top.
Custom AI tooling for your specific environment. Hooks, agents, knowledge pipelines, and automation scripts tailored to your stack. Not templates.
Pre-deploy test suites that catch silent failures. Every claim is backed by measured output: token counts, byte sizes, assertion results. If it's not measured, it's not validated.
A knowledge layer so the next person can ask the platform what it does. Class A entries, decision logs, session journals, gate reasoning. The system explains itself.
25 years of infrastructure. The last 2 building AI-orchestrated operations in production. Currently the only practitioner publishing governance frameworks, ebooks, and production incident journals for Claude Code on Azure.