Summary
Elias Moral is a data scientist with 10 years of experience who blends a strong academic background in particle physics and mathematical modelling with practical ML and data engineering in industry. Currently at Lantek, he develops production-ready machine learning models for the sheet metal sector, building on prior roles that included reinforcement learning tools for robotics and applied data science projects across Python, Neo4j, Elasticsearch and ROS. His skill set spans Python, R, Java, ML frameworks (scikit-learn, TensorFlow, Keras) and database work, with hands-on experience deploying models and APIs. Fluent in Spanish, English and Catalan and familiar with Finnish and French, he brings an international mindset and collaborative approach to cross-cultural teams. Notably, his physics research and cyclotron operation experience give him a disciplined, simulation-driven perspective that complements his data-driven product work. Based in Santa Cruz de Tenerife, he thrives working remotely and translating complex mathematical ideas into robust engineering solutions.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Mathematics and Statistics, Master's degree, Mathematics and Statistics at Universidad de La Laguna
Master's degree, Elementary Particle Physics, Master's degree, Elementary Particle Physics at University of Jyväskylä
English, Spanish, French, Finnish, Catalan