01
Engineer
Started in the code. Stayed close to it because shipping is where taste actually gets tested — not in the doc.
— The Short Version
“AI engineer and product lead. A decade shipping product. Now integrating AI into growing businesses' systems, owning revenue on the commercial side, and shipping products in public.”
Background
The Arc
Same instinct across a decade of shipping — from foundational code to full commercial architecture.
02
Product lead
Moved into product because the hardest questions kept happening before the ticket existed. A decade, early-stage to large organisations.
03
Both halves
Now running the commercial side as well as the build. Most people do one or the other.
Focus Areas
What I'm doing now
Three focused commercial services, plus independent product ventures shipped in the open.
Product Leadership→
The product seat, on retainer.
Roadmap discovery, sprint cadence, and engineering delivery oversight.
Explore Product Leadership
AI Systems→
Operational middleware & integrations.
Multi-model pipelines (Claude + Gemini), automated CRM sync, and legacy system plumbing.
Explore AI Systems
GTM Strategy→
Sales architecture & commercial engine.
Pipeline generation, repeatable sales motions, and partner ecosystem co-selling.
Explore GTM Strategy
Building in Public→
Products shipped in the open.
Autonomous agents, consumer discovery apps, and founder tools live in production.
See The Lab Proof
Verified Credentials:
PSM IUVA Darden DPMSalesforce AI AssociateCertified Agile PractitionerAI-PHQ
Intake & Advisory Selection
What is your primary blocker right now?
Select the scenario that best describes where your company or product is stuck. The intake panel will configure the right call format.
Configured: Scan CallFree · Verbal20 mins
One workflow, verbal, honest diagnosis. We look at where custom middleware or multi-model AI would actually earn its place — and where it wouldn't. No deliverables promised.