I build end-to-end production systems: apps, data pipelines, and the models they serve.
I'm an engineer who does data science. I started out in 2019 building web apps, APIs, and data infrastructure, and moved into modelling from there. Engineering came first, which is why I own the pipeline and the deployment as well as the model.
What the site is made of
Current client work
- 2026.09 Job orchestration platform rebuilt as a React SPA client: Internal platform, used across the client estate I rebuilt our team's core Data Science and BI job orchestration platform as a modern React SPA, replacing unmaintainable legacy Flask templates, eliminating persistent interface bugs, and improving its performance.
- 2026.09 A customer-value modelling platform, templated for onboarding clients: A national fashion retailer · A global footwear brand · A Premier League football club · An international fine-art and collectables auction house An end-to-end data pipeline framework that takes a client's raw data from multiple sources through unification, identity resolution and model training to a predicted lifetime value for every customer interaction, over a one-year horizon by default. The framework standardises the pipeline stages for any client in any domain.
- 2026.09 A shared agent repository, with delivery wired into Azure DevOps client: Internal platform, used across the client estate I built a shared repository of AI agents that automates the entire software delivery lifecycle, chaining independent steps from task planning and code implementation to isolated pull request reviews within Azure DevOps.
Current personal work
- 2026.08 A trading system that manages its own strategies I am building a quantitative trading system designed to manage a portfolio of strategies, backed by completed empirical research into market structure that establishes the foundation for automated capital allocation and risk management.