Miguel Felipe is a Senior Staff Engineer and mathematician with eight years of experience designing and implementing algorithms for data mining, machine learning, and deep learning. He has led algorithm strategy and development as Head of Artificial Intelligence at Frenetic and now drives engineering at Asevia, combining research-grade rigor with product-focused delivery. His background includes founding an agri-tech startup and consulting roles that sharpened his ability to translate complex models into practical systems for diverse industries. Based in Madrid, he blends formal mathematical training from Universidad Complutense de Madrid with hands-on leadership, often taking end-to-end responsibility from architecture to deployment. Notably, his career reflects a repeated pattern of moving research ideas into production-grade solutions rather than staying solely in theoretical work.
9 years of coding experience
7 years of employment as a software developer
telecomunicaciones politecnica de madrid
Ingenieria matemáticas, Ingenieria matemáticas at Universidad Complutense de Madrid
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