I studied the Degree in Telecommunications Technologies and Services Engineering (GRETST) at ETSETB (with a mention in Audiovisual Systems Engineering), Universitat Politècnica de Catalunya (UPC), and I am currently beginning the Master’s in Telecommunications Engineering (MET) through the successive pathway program (PARS). As a multifaceted engineer, my work spans from high-level AI modeling to low-level hardware development.
Currently, I am a member of the N3Cat research group, where I am conducting my Bachelor’s Thesis (TFG). My research focuses specifically on designing a deep learning framework to predict signal power by analyzing altitude maps and other data. This work aims to enhance the characterization of wireless channels through data-driven approaches.
My technical background also includes significant experience in embedded systems and industrial applications. Within the Advanced Engineering Project (PAE) at UPC, I developed critical firmware for HP, designing robust memory partitions to ensure secure updates for industrial robotics. Additionally, I did an AI Internship at Serimag, working on production-level LLM and Computer Vision solutions, and I also am an active member of the AESS Robotics Club where I of course practice some of my skills in firmware, and in some basic AI. I would like to consider me a very transversal engineer