Moisés Martínez
Software Architect
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolMoisés Martínez is a Software Architect and AI researcher with a Ph.D. focused on classical and temporal planning, deep learning, and robotics, bringing nine years of professional experience to applied research and system design. He develops planners that balance detailed near-term actions with abstracted long-term plans to handle uncertainty in real-world execution, and applies these techniques to robotics, logistics and video games. Based in Madrid, he blends academic rigor from Charles III University of Madrid and research stays at Örebro with hands-on Data & AI architecture practice. Known for translating theoretical abstractions into practical planning-and-execution systems, he excels at turning complex planning models into deployable solutions. An unexpected strength is his focus on minimizing wasted reasoning time by intentionally limiting future detail—improving robustness and efficiency in dynamic environments.
10 years of coding experience
Research Internship, Research Internship at Örebro universitetBachelor's degree, Bachelor's degree at Universidad Nacional de Educación a Distancia - U.N.E.D.Computer Science Engineer, Computer Science Engineer at Charles III University of Madrid
English, Swedish, Spanish
Github Skills (2)
keras5
tensorflow4
Programming languages (1)
Github contributions (5)
momartinm/linear_regression_tf
Jul 2020 - Jul 2020
Este repositorio describe como construir diferentes modelos de regresión para la predicción de valores numéricos mediante la utilización de TensorFlow 2.0
Contributions:50 commits, 1 PR, 40 pushes in 15 days
tensorflow
Fictizia/Master-en-Big-Data-y-Machine-Learning_ed1
Oct 2019 - Apr 2020
Contributions:455 commits, 1 PR, 440 pushes in 6 months
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