About

Education

BSc in Physics, Universitat Autònoma de Barcelona (UAB)

-> Bachelor’s thesis: “Study of the Vapor–Liquid Transition of a Lennard-Jones Fluid Using Molecular Dynamics”
MSc in Data Science, Universitat Oberta de Catalunya (UOC)

-> Master’s thesis (with honors): “Performance Evaluation of Graph Neural Network Models for Wi-Fi Fingerprinting-Based Indoor Positioning Systems”

Skills

Programming languages

Python is currently my main programming language, but I’ve been very interested in Go and Rust.
I also frequently use C# and JavaScript/TypeScript at work.
Other programming languages I have used include C, R, and Fortran.

Scripting and Markup languages

Beyond programming languages, I enjoy writing Bash scripts for system administration, and using Markdown and LaTeX for documentation and technical writing.

Tools & Technologies

Area	Tools & Technologies
AI / Machine Learning	Classical ML: Scikit-learn Deep Learning: PyTorch Graph Neural Networks: PyTorch Geometric
Data analysis, preprocessing & visualization	Data analysis & preprocessing: NumPy, Pandas Data visualization: Matplotlib, Seaborn, Plotly Graph analysis: NetworkX
Database administration	Relational: SQLite, PostgreSQL, MS SQL Server, IBM DB2 NoSQL: Redis, Neo4j, MongoDB Tools: DBeaver, SQL Server Management Studio
Web Development	Backend: FastAPI, ASP.NET Core Frontend: React
Operating Systems	GNU/Linux (Debian), MS Windows Server
Code editors / IDEs / Interactive environments	VS Code, Vim, Jupyter Notebook, RStudio, Visual Studio
VC & Deployment tools	Version Control: Git ( Codeberg, GitHub, Bitbucket ) Web servers: Nginx, IIS Containerization: Docker CI/CD: TeamCity, Octopus Deploy