Virilo Aguilera is a Senior Deep Learning Engineer and Data Scientist with 11 years of experience building production-ready AI systems and leading ML projects from research to deployment. A Kaggle Master and doctoral student based in Spain, he combines deep academic grounding with practical expertise in large-scale computer vision (including localization on 10-gigapixel drone images and medical imaging like CT and fundus), recommender systems, anomaly detection and time-series estimation. He has delivered solutions for industry—such as an automotive parts defect classifier with heatmaps and REST service—and for art and culture, including a CNN/GAN project acquired by Madrid’s Reina Sofía Museum. Comfortable at the intersection of research and product, he consults freelance while managing BI and software architecture efforts at Colegio de Registradores, evidencing both hands-on coding and project leadership. An often-overlooked strength is his knack for translating high-resolution model outputs into actionable formats (e.g., GPS coordinates) that integrate directly with operational workflows.
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Virilo Aguilera - Senior Deep Learning Engineer And Data Scientist