About
Education, experience and how I work.
01
Education & experience
2024 — present
Double Degree in Computer Science Engineering & Mathematics
University of Oviedo
Dual training in Computer Science and Mathematics with a strong foundation in algorithms, data structures, systems programming, linear algebra, mathematical analysis, probability and statistics. Particularly interested in machine learning, optimization, and scientific computing. Strong academic record, earning five Honors Distinctions throughout the degree.
2026
University Microcredential in Quantum Computing
University of Oviedo
Specialized program covering the fundamentals of quantum computing, quantum algorithms, and emerging applications. The coursework included quantum optimization and Quantum Machine Learning (QML), exploring the potential of hybrid quantum-classical models for optimization and machine learning tasks. This experience strengthened my interest in the intersection of mathematics, artificial intelligence, and quantum technologies.
02
Technologies
Languages
- Python
- C++
- SQL
- Java
- C
Machine Learning
- PyTorch
- scikit-learn
- NumPy
- Pandas
- Scipy
Tools
- Git
- Linux
- Docker
- PostgreSQL
03
Lab
Interactive visualisations of dynamic systems, Fourier series, and gradient descent — where mathematics becomes code.
Open lab