Case studies

Four systems, in depth.

Production systems only. Context, constraints, the decisions and their trade-offs, and what came of it.

01● 2024–present

Engineering Lead · Staff Full Stack / AI Engineer · Energy company (contract, name under NDA)

An AI-first SDK for an energy company

A monolithic industrial control application turned into a modular SDK that engineers and LLM agents both build against, from typed contracts instead of guesses.

Test coverage 0 → 92%

CI 10–12 min → under 1 min after migrating the framework to TypeScript 7

02● 2024–present

Engineering Lead · Staff Full Stack / AI Engineer · Energy company (contract, name under NDA)

AI code review, zero to production

Agentic systems in production

A GitHub App that reviews every pull request in the context of the whole repository, with an eval harness gating every prompt and model change.

100+ real pull requests reviewed in production

0 false positives on the eval fixture set (TypeScript / C# / Swift)

03● 2016–2018

Lead Front-End Developer / Team Lead / Project Manager · Luxoft · one of Australia's largest investment banks

A deal platform for an Australian investment bank

Leadership at scale

Deal-processing platform for one of Australia's largest investment banks. Grew the delivery organisation from 3 engineers to 30 across six teams in four countries, then handed it over and went back to engineering.

3 → 30 engineers in a year (3 → 15 in six months), across six teams

6 teams across 4 countries and 4 time zones

04● 2019–2022

Lead Front-End Developer / Team Lead · Avallain · for one of the world's largest education publishers (client under NDA)

A learning platform used by 1.8M learners

Legacy rescue · technical leadership

Led front-end development and rebuilt a legacy platform the company had written off as unprofitable. It became the company's main income stream.

1.8M learners on the platform

From written off as unprofitable to the company's main income stream