Darren Buttigieg

Designed and maintained a large-scale Python platform for constructing daily and monthly economic indices from decades of global news coverage. Independently translated academic methodologies (including Baker-Bloom-Davis-style indices) into production-grade, reproducible software.

Built a fully config-driven indexing framework (JSON/CSV), enabling non-developers to define new indices across sources, languages, regions, time resolutions, and keyword regimes without code changes. Implemented resilient web-scraping pipelines with structured logging, retries, and fault recovery to support large historical backfills across thousands of sources.

Developed a robust, object-oriented Selenium automation framework with assertable, retryable actions and explicit state validation. Extended core methodologies with source-importance weighting, cross-source normalisation, and alternative formulations to improve empirical stability. Evolved the system over multiple years from a research prototype to a production-grade research infrastructure.

Built an app using Python, Docker, Kubernetes, Redis, and RabbitMQ. I was part of the back-end team in the connectors section, which dealt with integrations with third-party APIs, retrieving the data specified by the customer coming through the front end. I stored the relevant fields in the appropriate format in the database.

Co-authored a mathematical paper delineating the algorithm for calculating an individual's insurance risk assessment score. I worked together with another mathematician while also being on the software development team. I liaised with the CEO, CTO, COO, and the rest of the development team to design the equations and algorithms in line with the needs of the company.

Developed a React application that provides users with a highly interactive way of creating travel maps. Users can add multiple transportation modes and additional features as part of the same journey. I am the sole contributor working on this ongoing project.