Hybrid · Project + Product
I’m a Technology Program Manager with 20+ years shipping complex technology work — and I’m deliberately moving into AI product and hybrid project–product roles. Same core skill: make the system visible, align the people, and get the work done. Applied now to AI products, private / local infrastructure, and governance.
For hiring managers
You’re usually choosing between a pure product person who hasn’t run hard technical programs, or a pure delivery person who doesn’t think in product. I’m the hybrid: program and project management depth, plus hands-on AI product practice.
From infrastructure programs to AI products
The Five P Operating Model — People, Picture, Plan, Perform, Pivot — is how I run complex delivery. On AI work, that means the same thing: get the right people in the room, make the system picture shared, define an executable path, drive the build, and adapt when reality changes. How I work → · AI infrastructure map →
Professional practice
Professional consulting and foundation work on one side; independent experiments and product concepts on the other. Kept honest — not every item is a shipped commercial product.
Trusted AI infrastructure for organizations that can't trust the public cloud. Advisory through implementation — private, local, and hybrid AI, governed from day one.
solassovereignsystems.aiIndependent U.S. 501(c)(3) research foundation — evidence-based research on AI infrastructure, environmental impact, governance, and digital sovereignty.
globallocalai.orgPublic, non-partisan movement helping people understand how Power, Privacy, and Policy will shape the next generation of AI. Education, not sales.
globallocal.aiIndependent experiments — prototype / research, not commercial products
These are not the same as Apple / Marvell / SFO delivery programs. They are how I develop product sense, architecture judgment, and AI literacy in public — with real systems, not slideware.
A real-time intelligence dashboard tracking the physical footprint of AI itself — data centers, compute, power — across dozens of live sources. The deepest, most actively maintained system in the portfolio: real deployment pipeline, real architecture documentation, real production hygiene.
A climate-native fork of the same underlying engine — 23 live climate, humanitarian, and earth-systems sources aggregated into one globe-centric dashboard. Built for Climate Reality Project leaders and NGOs. Deliberately scoped — no conflict data, no military feeds, Earth systems only.
Product concepts — early stage, not yet built as products
A privacy-first AI concept centered on an elegant, frictionless, human user experience — local-first, kept under the user's control.
A digital museum and research experience for Irish mythology — encyclopedia, narrated stories, and source material in one exploratory interface.
A local, encrypted AI appliance concept for small law firms — private document search and retrieval-augmented analysis, kept off the public cloud.
A browser-extension concept simplifying enterprise ServiceNow workflows through an interface layer, without changing the underlying platform.
Retrieval-augmented generation, vector databases, and local inference — the same infrastructure discipline applied to AI as to data centers and cloud. Current tooling demonstrates hands-on practice, not equal depth in every item.
Next
If you need someone who can run the program and stay close to the product — especially where AI meets infrastructure, privacy, or governance — that’s the conversation I want.
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