Awards & Honors
Fellowship - Elena Maseras
Computer Vision Center (CVC)
Awarded this highly competitive fellowship to conduct my Bachelor's Thesis within the Learning and Machine Perception (LAMP) group of the Computer Vision Center (CVC).
Scholarship - Santander Erasmus
Banco Santander & Universitat Politècnica de Catalunya (UPC)
Merit-based scholarship awarded for academic excellence to support Erasmus+ studies at Technical University of Munich (TUM).
Fellowship - Rosa Sensat
Computer Vision Center (CVC)
Awarded this competitive research fellowship to join the Computer Vision Center (CVC) as a Research Intern.
Course Honors - Unsupervised and Reinforcement Learning
Universitat Politècnica de Catalunya (UPC)
Highest academic distinction for the Unsupervised and Reinforcement Learning course (Grade: 10/10).
Hackathon Winner - Aina Hack 2024
Projecte Aina (Barcelona Supercomputing Center)
Our team made LaIA, the winning project of Aina Hack 2024. LaIA is an AI assistant for Catalan administration that simplifies access by accepting files and images as inputs, supporting internet searches, and generating informative text and video outputs to guide users through administrative processes.
Hackathon Winner - Challenge IA i Auditoria 2024
Col·legi de Censors Jurats de Comptes de Catalunya
Our team won the challenge presented by Col·legi de Censors Jurats de Comptes de Catalunya. The project implemented AI in auditing to detect inventory impairment, helping auditors with their work.
Hackathon Winner - Bunge's Challenge at HackUPC 2023
Bunge & HackUPC
Won the challenge presented by Bunge at HackUPC. The project was related to AI and Data Science and helped improve skills and team working abilities.
Course Honors - Programming and Algorithms I
Universitat Politècnica de Catalunya (UPC)
Highest academic distinction for the Programming and Algorithms I course (Grade: 10/10).
Honors - Spanish Baccalaureate in Science and Technology
Institut Escola Industrial de Sabadell
Ranked 1st in class upon graduating from the Spanish Baccalaureate in Science and Technology (GPA: 9.1/10).