Bruno Gómez is a Deep Learning Engineer with two years of hands-on experience building ML systems and an MSc in Artificial Intelligence in progress at UPC. He has implemented Transformer architectures from scratch in C++ for an open-source library and trained a lightweight English–Spanish translation model as part of his bachelor thesis, demonstrating both low-level engineering and applied ML skills. At ESA he developed a federated continual learning framework for spacecraft prognostics, combining time-series forecasting and anomaly detection on satellite telemetry. Now at THEKER Robotics he applies these research-grade techniques to real-world robotics challenges, bridging academic methods and production constraints. Fluent in rigorous math from a BSc in Mathematics, he brings a rare mix of theoretical depth and practical C++/modeling experience that accelerates ML systems from prototype to deployment.
2 years of coding experience
1 year of employment as a software developer
Exchange student in Portland Oregon in high school junior year, Exchange student in Portland Oregon in high school junior year at Lakeridge High School
Bachelor of Science Mathematics, Bachelor of Science Mathematics at Universidad de Salamanca
UPC Universitat Politècnica de Catalunya
High School diploma with High Honors, High School diploma with High Honors at I.E.S. Federico García Bernalt
Contributions:54 PRs, 71 pushes, 3 branches in 22 days
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Bruno Gómez - Deep Learning Engineer at THEKER Robotics