Services

You have the vision. I own getting it built.

Most founders don't need another engineer — they need someone who can scope the system, make the vendor and security tradeoffs, direct the build, and stay until it's actually live. That's the job.

Two ways to work together
01 — Technical Launch Management

Five steps, every time

SCOPE→DECIDE→BUILD→VALIDATE→LAUNCH

Scope & Vendor Strategy

Turning a product idea into an actual technical plan — which platforms to use, what to build versus buy, and why.

Security & Pricing Tradeoffs

Owning the decisions that actually matter — where secrets live, what's exposed to customers, and what the numbers need to be for the business to work.

Hands-On Technical Direction

Working alongside an engineering partner through the real build — the integrations, the deployment, the debugging — not just handing off a spec and waiting.

Launch & Validation

Testing the whole system end-to-end before it's real, then staying through the actual go-live — not gone the moment the code is written.

Case Study — Bashment

A live merch storefront, start to finish

Directed the technical launch of Bashment's e-commerce merch store — a real integration connecting Stripe for payments, Printful for print-on-demand fulfillment, Vercel for hosting, and Supabase for the database.

Owned the requirements, pricing, and security decisions across all four platforms; resolved production issues including a broken deployment pipeline, API permission scoping, and a breaking third-party API change; then validated the full payment-to-fulfillment flow with live testing before taking it live for real customers.

02 — AI & Automation Systems

Turning manual workflows into systems that run themselves

DIAGNOSE→AUTOMATE→MEASURE→IMPROVE

Fifteen years across healthcare, government, hospitality, and the not-for-profit sector taught me where the real gains hide: in the fragmented, manual steps nobody wants to touch — not the headline process everyone's already optimized.

The approach stays consistent with everything else I build: start with a transparent, explainable baseline before reaching for machine learning, and only add complexity once the data has earned it. A team that can't see how the system works can't trust it — and won't maintain it once I'm gone.

Have a system that needs to get built?

Whether it's a technical launch or a manual workflow that needs to become a system — let's talk about what you're trying to build.