Selected work

Four industries. Four builds. Zero pilots.

These are production systems, not slideware. Across four completely different verticals, I built and deployed AI that runs in the business every day: intake, routing, reporting, and the operational drag that was eating the team's hours. Different industries, same result.

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Industries served

Four industries. Four different businesses. One result.

I've built and deployed production AI systems across four completely different verticals. Not pilots. Not proofs of concept. Systems running right now, on a Tuesday morning, without anyone thinking about them.

Energy incentive & audit firm

Built the agentic workflow infrastructure for a firm that audits facilities and captures utility rebate incentives. Sales pipeline automation, process documentation, and department- and org-facing plugin packages: integrated custom workflows built on purpose-built skills that handle intake, qualification, and handoffs autonomously. A lean team now runs the full rebate pipeline end to end, with the manual intake-and-handoff drag pulled out of the process. The people who used to spend their mornings shuffling paperwork are back on the work that actually needs them.

Real estate investment firm

Built a full business AI architecture for a real estate investment firm that needed buyer-facing systems, a custom comparables engine, sales department automation, and an executive dashboard that gave leadership a real-time view of the operation. I started with a business audit. By the end, the firm had a connected stack that ran sales, ops, and reporting without the manual drag that was slowing everything down. Leadership stopped waiting on weekly rollups and started seeing the operation as it moved.

Multimedia production studio

Built the entire AI production pipeline for a studio working at the intersection of music, film, and AI-generated media. A connected set of agentic skills that pass work between tools, generate their own reference material, and sharpen their own output over time, eliminating the production bottlenecks that kill creative output. This one tested every assumption I had about what agentic systems could do in an unstructured, high-creativity environment. It passed. The creative team spends its time creating instead of managing the machinery around the work.

Multi-state cannabis vertical

Built AI systems inside a multi-state cannabis operation, a licensed producer working in one of the most compliance-heavy, tightly regulated environments in the country. Seed-to-sale tracking, state compliance reporting, cultivation operations, inventory, and batch tracking: workflows where anything AI touched had to survive an audit and stay defensible. The constraint wasn't creativity, it was regulation. Learning to build AI that holds up inside those guardrails taught me more about real-world deployment than any sandbox ever could. Every output the system produces is one that stands up when a regulator asks how it got there.

What all four taught me

The industry changes. The problems don't. Every business has the same core constraint: the work that needs doing and the people available to do it never perfectly match. AI doesn't fix that by eliminating people. It fixes it by eliminating the work that was never worth a person's time in the first place.

Track record

4 Industries with production systems

4 Client builds shipped

0 Pilots. Production systems only

SoCal Based and operating

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