Battle-tested experience across every layer of IT — from bare-metal builds to banking-compliance platforms — now applied to agentic engineering, so what AI helps me build actually holds up long-term.
70% faster delivery. 30% fewer errors. Systems designed to run without me in the room.
Here are three things that make what I do unique:
Global Kubernetes-based automated platforms. PXE-booted bare-metal clusters. Multi-region banking-compliance platforms. I've built and fixed systems across the full stack — engineering, architecture, infrastructure, security, operations — for 35 years. There isn't a failure mode I haven't already seen.
Architecture, scale, cost, failure points, monitoring, deployment, testing — I model everything at once before a line of code gets written. The specs I write catch the edge cases that others only find in production, after it's already cost the business.
I use agentic tools intelligently. But AI makes the same mistakes junior developers make, guessing when the spec is vague or guardrails are missing, and breaks what it can't see. I know how to prevent AI failures with well-written specs and guardrails — and I get called in to fix what AI-first teams built too fast.
If you need something built right the first time — or fixed after it wasn't — let's talk.
Here's what matters most, wherever you're starting from:
Ship an MVP that won't need rewriting before your Series A.
Scale past product-market fit without the 2am outages.
Compliance-grade rigor, built in from day one, not bolted on after an audit.