Selected work

A local digital publication built around structured editorial workflows, source handling, article selection, production checks, and repeatable publishing. It is a practical example of using AI for leverage while keeping editorial judgement, traceability, and quality control in the loop.

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.

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.

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.

Curated Docker images providing recent Python versions on Ubuntu, linked against modern OpenSSL and built with security, performance, and lightweight deployment in mind.

A project boilerplate generator built around interactive prompts and flexible templating workflows. It explores a more guided approach to creating repeatable project foundations.

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.