Systems thathold under load.

Context

Senior engineering and AI consulting for an Irish software firm, contracted through my own company, Turing Tech. The AI work is the part clients are least sure how to scope.

What I did

• ·Lead a team on client delivery — architecture decisions, review culture, and the unglamorous work of keeping a codebase approachable.
• ·Advise on AI adoption: where an agent belongs in a product, where a deterministic pipeline is the honest answer, and what each costs to run at volume.
• ·Ship production software in Go, Node.js, TypeScript and React on AWS.

Context

Specialty insurance, with a third-party integration that moved files large enough to make a naive download strategy fall over.

What I did

• ·Led four developers: architecture, review, and splitting work so that nobody was blocked on me.
• ·Designed the large-file downloader on Step Functions, fetching in parallel from a third party instead of serially timing out.
• ·Built a local Lambda test environment, so the team stopped deploying to find out whether something worked.
• ·Drove continuous improvement of the CI/CD pipeline across the account.

Context

A global betting operator standing up a cloud foundation that every future project would be built on. Get it wrong and you get to be wrong a hundred times.

What I did

• ·Built the landing zone with AWS Account Factory for Terraform and Cloud WAN for the network — accounts and connectivity as code.
• ·Designed and shipped central services: the company email sender, the account creation API and its UI.
• ·Designed and implemented the infrastructure testing pipeline, so a Terraform change was verified rather than hoped about.
• ·Led the regional expansion to Brazil and Milan.

Context

A bank running on microservices, where the question is never whether you have metrics but whether any of them mean anything at 3am.

What I did

• ·Implemented metrics and alerting for microservices in Go.
• ·Did the data analysis behind each threshold rather than copying a number from another service's dashboard.

Context

An insurance renewal platform that did not exist yet, on a six-month clock, in Go — a language I had not written before the project started.

What I did

• ·Built the renewal functionality from scratch on AWS, with React and TypeScript on the front end.
• ·Learned Go on the project and was shipping production services in it inside the first weeks.
• ·Ran both ends of the stack, which on a tight timeline is less a skill than a necessity.

Context

Four years at an executive-education company, starting as an intern and ending as a partner. Where I learned that a system's value is measured outside the system.

What I did

• ·Built the content recommendation engine in Python — ElasticSearch for recommendations, MongoDB for user data, a TypeScript/Node API into a React front end.
• ·Led the technical design of a digital events platform during the 2020 pivot, holding thousands of simultaneous attendees with live chat, gamification and an interactive 3D map.
• ·As an intern, built an event accreditation system on a Raspberry Pi with a printer and a QR reader — 2,500 people through the door in under ten minutes.