About
Enterprise Architect at a Fortune 50 technology company, leading AI programmes at the intersection of enterprise systems, cloud architecture, and large language models.
Background
Eight years of building at the intersection of AI and enterprise systems — from a 2018 grad-school location tool for Connecticut seniors, to an NLP-powered adaptive learning system in 2019 (predating mainstream RAG by four years), to enterprise data orchestration on Kubernetes, to leading AI programmes inside one of the world's largest technology companies.
Currently focused on agentic AI architectures, MCP and A2A protocols, and SAP S/4HANA ecosystems. TOGAF 10 certified. Stanford AI-Driven Leadership.
Education
- M.S. Software Engineering — Fairfield University
- Applied Data Science — Columbia Engineering
- AI-Driven Leadership — Stanford
Communities
- Association of Enterprise Architects (AEA)
- ASUG (Americas' SAP Users' Group)
- The Open Group — TOGAF certified member
- Arizona Science & Engineering Fair (judge)
Writing
I write about the future of architecture practice at the intersection of AI and organisational design — for practitioners, not just academics. Recent pieces are on the writing page.