It started with games. I wanted to build them, which meant learning to code. That compulsion — understanding how complex systems fit together — carried through a computer science degree and into distributed systems architecture.

What began as curiosity about game engines became a practice in designing systems that scale. The thread is consistent: take something complex, understand its constraints, and build the infrastructure that makes it work at speed.

Over ten years, the work shifted from individual systems to organizational impact. I've led migrations that reduced deployment cycles from weeks to hours. Built CI/CD pipelines that cut build times by 80%. Delivered platforms that let engineering teams ship 5× faster.

Today I partner with CTOs and engineering leaders on the kind of work that changes how their organizations deliver — AI-augmented platforms, scalable architecture, and delivery velocity that matches the pace of the business.

The next decade of software architecture isn't about adding AI to existing systems — it's about designing systems where AI is a structural component from day one. I help engineering organizations make that shift: rethinking the entire delivery pipeline through the lens of AI-native product delivery.

From design to implementation, review to deployment, and into production intelligence — enhancing outcomes with agentic AI at every stage. Not replacing engineering judgment, but removing the friction that slows it down.