Director Of Artificial Intelligence at Universidad Autónoma de Madrid
Madrid, Community of Madrid, Spain
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Summary
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Álvaro Jiménez is Director of Artificial Intelligence at the Instituto de Ingeniería del Conocimiento with over a decade of experience turning cutting-edge machine learning, NLP and optimization research into production "big data" systems such as recommender engines, automated text analytics and resource optimization tools. He combines a strong academic pedigree—PhD cum laude and ~30 international publications—with hands-on leadership since 2014, guiding technical teams from prototyping to deployed solutions. A frequent MSc lecturer and research collaborator at Universidad Autónoma de Madrid, he bridges deep theory (convex and non-differentiable optimization, kernel methods) with pragmatic engineering for competitive advantage. Colleagues know him as a “mad scientist at home” who pairs rigorous experimentation with product-minded delivery, making state-of-the-art approaches both scalable and business-relevant.
11 years of coding experience
3 years of employment as a software developer
PhD, Computer Science, Sobresaliente Cum Laude, PhD, Computer Science, Sobresaliente Cum Laude at Universidad Autónoma de Madrid
Curso Superior en Dirección de Proyectos, Project Management, Curso Superior en Dirección de Proyectos, Project Management at Escuela de Organización Industrial
Some conda environments I use for my lectures on machine learning
Contributions:64 commits, 16 PRs, 76 pushes in 2 years 9 months
environmentsmachine-learningcondadata-science
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Álvaro Jiménez - Director Of Artificial Intelligence at Universidad Autónoma de Madrid