25 years spent making sure every connection in a network could be trusted — every splice, every port, every path documented and provable. Now I bring that same discipline to AI: consulting, integration, and migration work that treats an AI system like what it is — critical infrastructure.
Most AI consulting starts with a platform. Mine starts with an audit. Before I recommend a tool, an integration path, or a migration plan, I want to see the actual state of the system — same as I would before touching a live splice panel. That means mapping what exists, documenting what's fragile, and building a plan that doesn't drop a connection along the way.
That discipline comes from two and a half decades of ribbon splicing, tier 1/2 testing, network auditing, and building OSP, campus, data center, and municipal networks — work where an undocumented connection isn't a minor inconvenience, it's an outage waiting to happen.
The portfolio isn't mockups — it's the actual documentation and automation architecture built for real fiber networks, the same rigor applied to AI system work.