SELECTED WORK

Evidence before theatre.

Three flagship cases show ownership, decisions, delivery and outcomes. The proof collection below shows hands-on technical range without pretending every repository is a finished product.

01Service to product system

SHOPIFY

Storefront Optimisation Services

From recurring merchant need to a global service system, reusable specialist knowledge and a measurable optimisation programme.

Scaled from a support-led pilot to global enterprise delivery.

02Operations to delivery system

SOTI

Technical Operations Transformation

Operational diagnosis, cross-functional requirements and controlled AI enablement across a complex enterprise support environment.

A repeatable path from service evidence to implementation.

03Technical product build

INDEPENDENT PRODUCT

The Loop

A privacy-first athlete product combining hands-on delivery, database-enforced boundaries and deliberately narrow AI support.

A substantial pre-release product; external validation is the next gate.

CURATED PROOF COLLECTION

Public work, labelled by what it proves.

Only public repositories with a clear evidence boundary are linked here. Private experiments, employer material and weaker artefacts stay out of the public portfolio.

In development

Mira

A privacy-conscious creative-thinking PWA built with Next.js, Supabase and server-side AI workflows that keep source material and authorship central.

WHAT IT PROVES

Public code, deployment, authentication architecture, edge functions and implementation journal.

Review repository
Published framework

Executable Product Development Framework

An evidence-gated state machine that defines what humans and AI agents may do at each stage of product development.

WHAT IT PROVES

Public v1.1 release, machine-readable templates, worked example and continuous validation.

Review framework
Discovery — build gated

Foreground

A discovery and responsible-AI foundation for a product intended to help young people move from digital intention to real-world action.

WHAT IT PROVES

Public research framing, journeys, requirements, safeguarding decisions, architecture and delivery gates.

Review discovery pack
Foundation design

Aodh Lab

A public learning system for understandable personal AI: memory, permissions, privacy modes and human approval made explicit.

WHAT IT PROVES

Public documentation, templates, example workflows and a PII-masking starter tool; no connected runtime claimed.

Review repository