Descripción

I’m a Python engineer who builds backend systems for complex, data-driven problems.

With a background in astrophysics, I specialise in turning abstract logic — from scientific papers, mathematical models, or loosely defined ideas — into clear, reliable, production-ready code.

I design systems that go beyond quick scripts or dashboards: structured, maintainable applications that process and make sense of complex data.

What I typically work on:

Backend systems and services in Python
APIs and data processing workflows
Translating models and algorithms into robust implementations

I write correct, clean code designed to scale — configurable, extensible, and built to last.

If you need someone who can take a complex idea and turn it into something that actually works, let’s talk.

Ámbito de especialización en el sector

Idiomas

Inglés
Bilingüe o nativo
Maltés
Bilingüe o nativo
Italiano
Competencia profesional básica
Español
Competencia profesional completa

Preferencias de lugar de trabajo

Solo teletrabajo

Lleva a cabo sus proyectos principalmente en remoto

Freelance
Freelance Scientific Software Developer
noviembre de 2018 - Hoy (7 años y 7 meses)
Delivered backend systems, data pipelines, and production Python software for research-driven and data-intensive applications.

End-to-end ownership: design, implementation, client alignment, and deployment.

Long-Term Core Project: Data Pipeline & Indexing Platform (Apr 2022 – Present)

Independently designed and evolved a platform constructing economic indices from large-scale global news datasets.

▪ Built a configuration-driven framework enabling non-developers to define new indices without modifying code
▪ Designed resilient data ingestion and transformation pipelines with explicit validation and failure handling
▪ Implemented published methods for index construction into reliable, testable systems
▪ Developed robust automation workflows for large-scale historical data collection
▪ Evolved the system over multiple years into stable, production-grade infrastructure

Other Selected Work:
▪ Simulation systems (agent-based, multithreaded, epidemiological models)
▪ Numerical optimisation and modelling (ODE/PDE systems)
▪ Data analysis pipelines and visualisation workflows
▪ Implementation of methods from academic literature without reference implementations
▪ Technical documentation and reproducible workflows

▪ Work often involves implementing methods directly from academic literature where no reference implementation exists
Python Back-End development software architect Data science Data visualization
Onna
Python Developer
AGENCIAS DE SUBCONTRATACIÓN
junio de 2020 - febrero de 2022 (1 año y 8 meses)
Barcelona, Spain
Worked on large-scale data ingestion and backend systems supporting eDiscovery and compliance use cases.
• ▪ Contributed to 20+ third-party APIs for large-scale ingestion (billions of files, multi-petabyte datasets)
• ▪ Designed efficient data synchronisation logic, reducing API usage while maintaining completeness
• ▪ Observability and monitoring (metrics, dashboards, system diagnostics)
• ▪ Refactored backend services to improve readability, testability, and maintainability
• ▪ Contributed to CI/CD improvements and system modularisation
API Back-End development Python software architect Docker
Sherpa Management Services
Junior Developer & Mathematician
BANCA & SEGUROS
octubre de 2016 - octubre de 2017 (1 año)
Naxxar, Malta
• ▪ Co-authored a mathematical research paper proposing a novel approach to quantifying insurance risk
• ▪ Translated mathematical models into production code, with careful attention to numerical stability and model validity
• ▪ Contributed to the design of a Python-based system modelling financial risk and lifecycle outcomes
• ▪ Developed REST APIs to expose computational models
• ▪ Integrated backend systems with structured financial data
• ▪ Improved code quality through testing, refactoring, and performance optimisation
• ▪ Produced technical documentation for internal and external use
Python API Data science software architect Data visualization