Portfolio
A selection of current projects, previous technical leadership and scientific research. The common thread is practical engineering: building workflows and platforms that help people move faster without making systems brittle, opaque or hard to operate.
Current work across local publishing, governance workflows, Python platform engineering and open-source tooling.
Local digital publication
A local digital publication supported by structured editorial workflows, source handling and production checks. The project focuses on repeatable publishing, clear provenance and human editorial review, so local information can be prepared and published with discipline.
Governance and formalities automation
A governance and formalities workflow project focused on making administrative and compliance-heavy work clearer, more repeatable, and less fragile. The work combines structured data, document generation, process design, and practical automation for real operational use.
Open-source Python tooling
An open-source schema migration system for Tortoise ORM, designed to bring the clarity of Django-style migrations to modern async Python projects. It tracks model state over time, generates explicit Python migration files, and makes database evolution easier to inspect, review, and trust.
Async platforms and internal tooling
Private platform work behind current products, centred on FastAPI, Tortoise ORM, PostgreSQL, authentication, deployment, background work, and developer workflows. The goal is fast product iteration without giving up clean architecture, operability, or correctness.
Open-source infrastructure tooling
Curated Docker images providing recent Python versions on Ubuntu, linked against modern OpenSSL and built with security, performance, and lightweight deployment in mind.
Open-source developer tooling
A project boilerplate generator built around interactive prompts and flexible templating workflows. It explores a more guided approach to creating repeatable project foundations.
Previous founder and technical leadership work relevant to AI-enabled products, infrastructure and product delivery.
Previous technical leadership
Previous co-founder and CTO role on an AI-powered institutional fintech platform. I led technical strategy and execution across architecture, infrastructure, AI workflow design and product delivery.
Earlier research work in quantum devices, low-temperature measurement and nanoscale superconducting systems.
Doctoral research
Doctoral research at UCL on nanoscale superconducting quantum interference devices for magnetic measurements at millikelvin temperatures. The work combined nanofabrication, low-temperature measurement, device modelling and experimental characterisation of superconducting bilayer nanoSQUIDs.
Scientific publication
Journal of Applied Physics paper on titanium-gold proximity-bilayer nanoSQUIDs designed to operate at very low temperatures. The work showed device behaviour consistent with heat-flow modelling and demonstrated magnetic measurements down to 60 mK.