Profile
Software engineer with experience in quantitative modeling, data systems, and backend services. Strong foundation in Python-based tooling, statistical methods, and production systems. Focus on building reliable, maintainable software for data-driven decision support.
Experience
Software Engineer (Part-time)
- Developed Python-based analytical tools and simulation workflows for data-intensive research projects.
- Built reproducible pipelines for numerical experiments and statistical analysis.
- Emphasised correctness, documentation, and maintainability of analytical systems.
- Collaborated with researchers to translate abstract models into practical tooling.
Software Engineering Intern
- Worked with Python and SQL on data-driven solutions in cloud-based environments.
- Supported analytics and modelling workflows under structured delivery timelines.
- Gained experience working in regulated and production-oriented settings.
Education
MSc in Quantum Information Science
- Focus on statistics, modelling, numerical methods, and data analysis.
- Master thesis centred on statistical approximation and uncertainty analysis.
Double BSc in Computer Science & Mathematics
- Coursework in probability, statistics, linear algebra, optimisation, and algorithms.
- Developed strong analytical problem-solving skills.
Skills
Programming
Python (NumPy, Pandas, SciPy), SQL, Django, FastAPI. Backend services and data tooling.
Modeling & Analysis
Statistical modeling, numerical methods, hypothesis testing, Monte Carlo simulation.
Systems
AWS, Docker, Nginx, Gunicorn. Production deployment and operational practices.
Practices
Version control, testing, documentation, reproducible workflows, code review.
Languages
English — Fluent
Spanish — Native