24_01_001_A_042_Orla2
Xavier Querol Bassols
FIB-UPC
Master Student
24_01_001_A_042_Orla2
Xavier Querol Bassols
FIB-UPC
Master Student
Master’s student in Artificial Intelligence at Universitat Politècnica de Catalunya. Part of the HIPICS research group, working under the Càtedra CHIP project.

I am a Master’s student in Artificial Intelligence at Universitat Politècnica de Catalunya, with a background in Data Engineering from Universitat Autònoma de Barcelona. My main interests lie in machine learning and computer vision, especially applied to sports analytics and football.

Professionally, I’ve worked as a Data Engineer at Zurich Insurance, a Data Scientist at Bonàrea IT, and at Serimag developing document processing solutions with AI. These roles have strengthened my skills across the data pipeline, from infrastructure to model deployment.

Currently, I’m collaborating with Qualcomm under the Càtedra CHIP project. My work focuses on optimizing large-scale AI workloads across multiple computation nodes to reduce training costs and improve efficiency.

I’m passionate about building intelligent, efficient systems and excited to keep growing within the AI research and development space.

 

Master’s student in Artificial Intelligence at Universitat Politècnica de Catalunya. Part of the HIPICS research group, working under the Càtedra CHIP project.

I am a Master’s student in Artificial Intelligence at Universitat Politècnica de Catalunya, with a background in Data Engineering from Universitat Autònoma de Barcelona. My main interests lie in machine learning and computer vision, especially applied to sports analytics and football.

Professionally, I’ve worked as a Data Engineer at Zurich Insurance, a Data Scientist at Bonàrea IT, and at Serimag developing document processing solutions with AI. These roles have strengthened my skills across the data pipeline, from infrastructure to model deployment.

Currently, I’m collaborating with Qualcomm under the Càtedra CHIP project. My work focuses on optimizing large-scale AI workloads across multiple computation nodes to reduce training costs and improve efficiency.

I’m passionate about building intelligent, efficient systems and excited to keep growing within the AI research and development space.