Companies don't fail at AI because of bad models. They fail because nobody bridges the gap between the data layer, the executive team, and the people who need to actually use the thing. That's the work I do.
Most AI initiatives die between the proof-of-concept and production. I operate across all three layers that determine whether AI actually changes how an organization works.
Getting an org to adopt AI isn't a technology problem — it's a change management problem. I design the rollout, run the roadshow, get executive buy-in, and make sure the ops team actually uses what we build.
AI is only as good as the data underneath it. I build the cross-system pipelines, reconciliation logic, and cloud data platforms that make production AI possible — not just a demo.
AI agents that replace real manual workflows — not experiments that sit in a sandbox. Production systems, live in the hands of the people who need them, generating measurable ROI.
Designed and delivered a live AI demonstration across ~300 operations staff and executive leadership — 6 production AI wins on an automation + AI agent stack. Not a slide deck, a live system. The goal was organization-wide adoption. It worked.
Built production cross-system pipelines reconciling records across multiple source systems into a cloud data warehouse — a multi-CTE architecture with precedence logic covering every active record across 50+ states.
Architected an AI-powered corporate expense anomaly detection system — web-based investigation interface, an AI agent that surfaces irregularities, and a prioritized action plan.
Led AI proof-of-concept strategy for two core portfolio management workflows: periodic review automation and ad hoc decision support. High-impact automation, no heavy engineering commitment. Lightweight, fast to ship, measurably valuable from day one.
I put my own capital and time behind the ideas I believe in. These are products and companies I'm building from zero — live, in market, solving real problems.
Enterprise AI assistant that connects internal systems as chat-enabled personas. One interface for your entire org's data — no switching tools.
Desktop AI with 80+ business agents. Runs locally, no cloud required.
Production food delivery platform — live and serving real customers for 8+ months.
Modern cooperative banking platform replacing decades-old legacy systems. Loans, deposits, ledger, regulatory reporting — the full stack, built from scratch.
AI wellness journal that correlates your habits, biometrics, and mood. Connects to wearables, spots patterns you'd miss, and learns what actually moves the needle.
AI-powered news video generation — writes, illustrates, narrates, and publishes to YouTube. Fully automated.
I've spent my career in the gap that kills most AI projects — the space between a working model and an organization that actually uses it. Data pipelines, executive politics, cross-system chaos, change management. The unsexy work that separates a demo from a daily driver.
I've connected systems that were never meant to talk to each other — Snowflake, Python, MCP, cloud platforms, contact centers, and AWS — and built intelligent automation on top. But I don't just architect. I ship. And I build my own companies on the side to prove it.
I take on fractional CTO, AI Advisor, and Head of AI engagements — especially where domain depth is a genuine advantage: PropTech, FinTech, and real estate adjacent SaaS.