Working philosophy

I came to AI through operations, not hype.

I have a background in finance, accounting, operations, and process improvement — and I build agentic systems that also reach beyond finance into commerce, verification, browser agents, and live assistance.

I naturally see organizations as systems: information comes in, decisions are made, work is routed, exceptions occur, controls are applied, and outputs move somewhere else.

AI introduces an entirely new kind of worker into that system. My focus is figuring out how to use it responsibly and practically.

I work across the gap between the business problem and technical implementation. I can map a workflow with the people performing it, design an agentic architecture around it, work directly with repositories and APIs, build and test the implementation, diagnose where it breaks, and iterate until the system becomes useful.

I am particularly comfortable when the process is still messy. Sometimes the hardest automation problem isn't automation at all. It is determining what the process should actually be.