Aitor Perez

• Development of a Python program for generating high-resolution LULCC datasets for regional climate models • Vectorization with NumPy and scientific computing using SciPy • Processing of large-scale climate data using Pandas and visualization with Matplotlib Link to GIthub: https://github.com/climate-service-center/land-use-translator

• Development and maintenance of web services. Backend with Django and Django CMS, Frontend using HTML, CSS, and JavaScript. • Containerization with Docker and CI/CD using GitLab • Project development using Agile methodologies (Scrum)

• Development of a large-scale management platform for the City Council of Barcelona • Implementation of REST APIs and asynchronous integrations using Kafka and Celery • Migration from Oracle to PostgreSQL using Pentaho and custom SQL scripts • Containerization with Docker, orchestration with Kubernetes, and version control with GitLab in an Agile environment

Master’s Thesis: Development of a UNet-based model for inferring subsurface ocean dynamics from satellite surface data. LInk to Github: https://github.com/Aitorpg/unet_subsurface_velocities

Bachelor’s Thesis: Interactive visualization of classical and quantum scattering, implemented in a Jupyter Notebook us- ing Python data science libraries. Link to Github: https://github.com/Aitorpg/Visualization-of-Classical-and-Quantum-Scattering