Andres Ladino is a data scientist based in Paris with a decade of experience at the intersection of research and production AI for Intelligent Transportation Systems. At RATPgroup, he designs and deploys end-to-end ML systems for railway maintenance, delivering predictive algorithms and a data-science toolkit that cut data retrieval and labeling overhead by roughly 60%. He currently leads data science at RATPgroup, overseeing a team and driving AI-driven maintenance solutions, including a web application used to maintain the Paris metro and RER fleets. Previously at Talan and RATP, he led AI initiatives across Bouygues Immobilieres and rail maintenance, including a platform behind SERVAL that supports maintenance workflows. He holds a PhD in Automatique Productique from Université Grenoble Alpes and an MSc in Electronic Engineering from Pontificia Universidad Javeriana, reflecting a strong blend of theory and hands-on software development. His career has involved collaborations with six major European OEMs and multiple European research projects, bringing together research, engineering, and operations to improve safety, reliability, and efficiency in mobility.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Automatique Productique, Doctor of Philosophy - PhD, Automatique Productique at Université Grenoble Alpes
Electronic Engineer, Electrical and Electronics Engineering, 4.0/5.0, Electronic Engineer, Electrical and Electronics Engineering, 4.0/5.0 at Pontificia Universidad Javeriana
Contributions:16 releases, 3 reviews, 495 commits in 3 years
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