Gabriel applied 20+ years ago what is now called Machine Learning to solve ill-posed inverse problems in Nondestructive Testing (NDT). He survived a PhD in computational electromagnetics, worked in academic and private research, co-founded two technology start-ups, and has been working in Software Development for more than 15 years. He is currently a Lead Data Scientist at Endava, recently working mainly on Natural Language Processing (NLP) projects for asset management, healthcare or banking clients. Gabriel is a high-profile contributor in the world of competitive machine learning and currently one of the few triple Kaggle Grandmasters. When not working in Data Science, Gabriel enjoys hiking, climbing and reading.