Penultimate year double major student in Mathematics & Computer Engineering at USC

• Languages, frameworks and tecnhologies: C, Java, Python, Fortran, SQL, JavaScript, TypeScript, HTML, CSS, Node.JS, NestJS, Angular, Next.js, R, PostgreSQL, MongoDB, RabbitMQ, MQTT, Kafka.
• Tools (data, scripting, DevOps): Matlab, Maple, Bash, Docker, Kubernetes, Jenkins.

• During Summer 2025, I worked as a Web Development Intern at IGM Web (Grupo Hotusa), handling the full lyfecicle of a monitoring internal tool to observe in real time the performance of a web-based solution that handles online travel agencies requests.
• During Summer 2024, I worked as a Machine Learning Intern at IDIS (Instituto de Investigación Sanitaria de Santiago de Compostela), applying ML classification techniques, including ensemble classifiers, with the goal of predicting onset of breast cancer.

Apart from personal projects, I have collaborated in multiple hackathons, gaining experience in teamwork, rapid prototyping, and problem-solving under time constraints. All my public projects are available in my repositories.

Integrated management system to prevent and reduce Non-Revenue Water (NRW) for municipalities in Galicia, combining Machine Learning techniques with IoT device communication and web development: egswater.com. Engineered in Typescript and R.

Award-winning project developed during HackUDC 2026. This project secured 1st place in the Alén Space (GMV) challenge and 2nd place in the general GPUL awards. It was distinguished as the only project to receive two separate prizes during the entire competition.

A satellite-to-ground DOOM streaming system over simulated LEO links built in C, using H.264 video compression, RTP/UDP packetization, and a lock-free ring buffer to deliver interactive gameplay under extreme bandwidth and latency constraints.

A data-driven algorithm designed to detect insider trading within prediction markets, fully engineered in Python. The system architecture is optimized for high performance, utilizing Redis Queues for real-time communication and Celery for parallel data processing.