About
Fourteen years in enterprise operations. Now building products of my own.
I’m a product leader and independent founder who likes solving complicated business problems with software. I spent more than 14 years working in enterprise product management, mostly around fuel, logistics, procurement, and operations. That experience taught me to start with how people actually work, understand where the friction is, and build around that.
That is the same approach I take with AI. I don’t start with a model and look for somewhere to use it. I start with the workflow and figure out where AI can genuinely make it better, where traditional software still makes more sense, and where people need to stay involved.
More recently, agentic development has given me the ability to take those ideas much further on my own. I’m now designing and building products end to end, while still approaching the work first as a product person.
My career has been spent in enterprise fuel technology: product management, consulting, and implementation for organizations whose daily work is buying, moving, and accounting for fuel. The recurring job was translating complicated operational reality into software that people could actually run their day on.
That meant leading major platform initiatives: an ongoing North American program spanning more than 700 locations, and a separate international rollout completed across 70 locations in the UK, Japan, and Mexico. It also meant developing genuine domain depth in procurement, ordering, inventory, dispatch, logistics, and reconciliation, the kind of knowledge that only comes from sitting with the people doing the work.
One of those initiatives was an AI-enabled OCR solution, estimated to produce approximately $4M in annual operational savings. That project changed how I thought about the boundary between what software should decide and what it should hand to a person.
The independent product work now amounts to five products, designed and built end to end, with agents used throughout the development lifecycle and the product decisions kept with me.
My focus now is AI product strategy, enterprise automation, and agent-enabled workflows, work where deep operational knowledge and current AI practice have to meet. To be clear about the timeline: the enterprise product experience is 14+ years. The AI product work is recent, deliberate, and where I intend to spend the next decade.