I help operations leaders automate the work behind the work.

I started this practice because I saw a gap that nobody was filling well. Mid-sized companies have real, expensive operational problems — shipping documents that don't match orders, invoices that need three-way reconciliation, internal analytics that wait days for the data team — and AI agents can now solve them. But the expertise to design and ship those systems reliably is still rare.

Big consulting firms move too slow. AI startups don't understand operations. I sit in the middle: a senior production-software engineer who has spent the last two years equipping myself with the latest agent tooling, and who has been shipping Ruby on Rails systems for nearly two decades.

Before this, I was a senior backend engineer at Mudflap, where my code supported millions of dollars in daily fintech transactions. I led teams for Netflix (via DockYard) and the New York Public Library. I co-founded Qiqo, where I built an event platform that grew to 200,000 users and a generative-AI concierge with retrieval augmented generation (RAG) and vector search.

Starting my career, I was an Infantry Captain in the US Army, graduating from West Point and Ranger School. I served as the executive officer for a 125-person headquarters company, and led soldiers on their first combat mission, a three-day, 500-kilometer convoy from Kuwait to Baghdad. I was assigned as base security officer for a forward operating base of 1,200 American soldiers and 100 civilians which experienced elevated rifle, RPG, and mortar attacks.

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That experience is why I build software the way I do — for systems that have to actually work, under real-world stress, with consequences if they don't.