I build AI systems inside environments where failure is expensive. Today that means three concurrent seats: embedded in a Fortune 50's finance transformation - where my agentic validation pipeline has cut manual review effort ~80%, my automated migration factory documented and converted 1,800+ legacy accounting SQL scripts to BigQuery, and I lead AI best practices and MCP enablement for the program's development teams. Fractional CTO for an analytics SaaS company, architecting its platform end-to-end on GCP. And founder of AIS Intelligence, an AI video-analysis iOS platform - App Store live, U.S. patent pending. The pattern behind all three: find the real bottleneck, ship a working version fast, then harden it into something an enterprise can trust. I treat validation as seriously as capability; in finance data, trust is the deliverable. The foundation: 15+ years of enterprise data and customer-facing engineering. Qlik's Enterprise Architecture presales team, helping influence $35M+ in revenue on complex Fortune 500 deals. Five years directing delivery across accounts including JPMorgan Chase, Ralph Lauren, Fitch Ratings, and New York Life. Original architect of the Qlik enterprise infrastructure that now anchors a multi-billion-dollar finance transformation. Daily toolkit: Claude (API, Claude Code, MCP server development), Gemini, Cursor; Python, TypeScript, Swift, SQL; GCP (BigQuery, Cloud Run), Neo4j, medallion architecture; Qlik (15+ years); SAP S/4HANA & FICO sources. Open to conversations about AI solutions architecture, forward-deployed engineering, and field/solutions engineering — remote (US).