Product engineering
I work with founders and small teams who need a senior engineer to own the whole path — from the shape of the idea to the thing running in production.
My strongest capability (96/100 in agentic Python) applied to production: agents that read your data, take actions behind guardrails, log every change and let you undo it. The studio you are reading this from runs one.
TypeScript at 95, React and TanStack at 94, Node at 90, Postgres at 88 — one person covering data model, backend, interface and deploy, shipped in weekly increments you can click through.
Auth, roles and row-level security done properly (86/100, and audited): separate editor and admin permissions, private data that stays private, and serverless functions at the edge.
Design systems at 90 and Tailwind at 92: a token-driven dark or light system, motion that carries meaning, and a look that stays consistent as the product grows.
I score and use these tools daily — Lovable 9.8, Cursor 9.4, Claude Code 9.2. You get the speed of that workflow with CI/CD, review and testing wrapped around it, not raw generated code.
An AI-assisted build that stalled, drifted or became unsafe to touch. I audit it, stabilise the data and auth layer, and get releases moving again.
01
A short paid discovery: goals, constraints, and the smallest first release worth shipping.
02
Weekly shippable increments in a live preview you can click through at any point.
03
Production deploy, roles and security review, documentation and a handover you can maintain.
04
Ongoing retainer for iteration, new features and keeping the stack current.
Pulled live from my capability list — it stays accurate because I maintain it.
Send a brief through the client portal. You'll get a reference code and can track the status of your request from the same page.
Open the client portal