Summary
Ettore Mariotti is an Applied Symbolics AI Researcher with eight years of experience at the intersection of explainable AI, interpretable models, and applied research. He completed a Marie Skłodowska-Curie PhD project focused on making AI decisions comprehensible in high-stakes scenarios and has translated that expertise into industry work, including interpretable-by-design solutions for Inditex and production-ready pipelines for astronomical deep learning. Comfortable from data engineering (terabyte-scale SQL systems) to neural architecture search and cloud deployment with Kubernetes, he blends rigorous academic methods with practical engineering. Based in the UK, Ettore is driven by curiosity and repeatedly seeks cross-disciplinary research stays and collaborations, a pattern that fuels both creative problem-solving and real-world impact.
8 years of coding experience
Master's degree, Telecommunications Engineering, 110 cum laude/110, Master's degree, Telecommunications Engineering, 110 cum laude/110 at Università degli Studi di Padova
Master's degree, Telecommunications Engineering, Master's degree, Telecommunications Engineering at Universidad de Las Palmas de Gran Canaria
English, Italian, Spanish