Summary
Rafael Gavilán is an AI engineer and researcher from Córdoba, Spain, with eight years of experience building predictive models, classifiers, and decision-support tools across biomedical and agronomy domains. He specializes in time series analysis and ordinal classification—skills honed during a PhD scholarship at IMIBIC and practical roles at the University of Córdoba and IMIBIC where he developed disease staging and screening models. Currently at Redsys, he applies his research-driven approach to industry problems, bridging rigorous data preparation with deployable machine learning solutions. Rafael combines academic depth (Master's in Computer Science) with hands-on engineering, and his background suggests an unusual focus on translating time-series research into real-world predictors for both health and agricultural settings.
8 years of coding experience
Máster Ciencias de la computación, Máster Ciencias de la computación at Universidad de Córdoba