I'm an AI engineer and technical product leader with 20 years of building systems and running the businesses around them. I started out building enterprise data and BI systems with large enterprise technology firms, then spent 15 years founding and running healthcare and construction ventures that served thousands of patients and generated over $9M in revenue, and now run an independent AI practice building production systems, automations, and data pipelines across legal, healthcare, construction, and SaaS.
My work is turning slow, manual, or seemingly intractable problems into reliable systems: RAG pipelines with governed, cost-instrumented model calls; responsible-AI products that keep a human in control of every write; and audit-grade data pipelines that reconcile fragmented records to the penny. The projects below are sanitized, self-contained versions of those production systems, rebuilt so you can read the architecture and the code without the proprietary parts.
I care about clean seams, honest failure handling, and the details that make a system trustworthy: tests that run offline, security enforced in CI, and provenance you can audit. Having carried whole businesses across sales, delivery, finance, and compliance, I build for the outcome, not just the ticket. For my own AI platform that meant building the growth engine as deliberately as the model: marketing automation, lead capture and segmentation, funnels, and conversion tracking, so it was built to find and keep customers, not just to demo well. What I want next is a place to put both halves to work - deep domain knowledge in healthcare and construction alongside hands-on AI engineering - helping a team turn AI into something their clients can actually rely on.