Hybrid · Project + Product
Program delivery meeting product direction.
10+ years leading complex technology programs, now doing active Product + Program work — currently part-time at Sophurion. Same core skill: make the system visible, align the people, and get the work done. Applied to AI products, private / local infrastructure, and governance.
Professional practice
Where the AI work lives today.
Current professional work first; independent prototypes and product concepts after — kept honest about which is which.
Product & Program — supporting current product and program leadership work, part-time.
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.aiPrototypes — not commercial products
Building to learn the product surface.
Distinct from Apple / Marvell / SFO delivery programs. These are how I build product sense, architecture judgment, and AI literacy in public — real systems, not slideware.
Solas AI Infrastructure Observatory
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.
Planetary OS
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.
White Mirror
A privacy-first AI concept centered on an elegant, frictionless, human user experience — local-first, kept under the user's control.
Celtic Explorer
A digital museum and research experience for Irish mythology — encyclopedia, narrated stories, and source material in one exploratory interface.
LegalVault
A local, encrypted AI appliance concept for small law firms — private document search and retrieval-augmented analysis, kept off the public cloud.
ClarityNow
A browser-extension concept simplifying enterprise ServiceNow workflows through an interface layer, without changing the underlying platform.
From infrastructure programs to AI products
The method transfers.
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 →
The hybrid case
Program depth, plus product practice.
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.
What I already do
- Lead complex, cross-functional technology programs and projects
- Map dependencies, stakeholders, risk, and cutover paths
- Make governance, security, and cost visible enough to decide
- Ship under real constraints — airports, cloud, data centers, privacy
Where I’m going
- AI product and hybrid project–product roles
- Local / private / sovereign AI systems with real operational stakes
- Product judgment without abandoning delivery discipline
- Turning prototypes and concepts into governed, usable systems
Why that combination matters for AI
- AI work fails when infra, people, and product are treated separately
- Someone has to own the picture: data, model path, controls, UX, ops
- Program managers who can also think in product reduce thrash
- Product managers who understand systems delivery ship cleaner
Local and private AI, kept off the public cloud.
Retrieval-augmented generation, vector databases, and local inference — the same infrastructure discipline applied to AI as to data centers and cloud. Full tool list: Tools →
Next
If the role is AI product / project
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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