Álvaro Jiménez
Director Of Artificial Intelligence at Afi Escuela de Finanzas
Madrid, Community of Madrid, Spain
Summary
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Senior🎓
Top SchoolÁlvaro 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 MadridCurso Superior en Dirección de Proyectos, Project Management, Curso Superior en Dirección de Proyectos, Project Management at Escuela de Organización Industrial
Spanish, English, Japanese
Stackoverflow
860reputation
213kreached
8answers
5questions
Github Skills (79)
python10
diffusion-models10
nvidia-docker10
signal-processing10
matlab10
docker10
machine-learning10
neural-style-transfer10
pandas9
ai9
audio9
computer-vision9
gpu9
deep-learning9
pydata9
Programming languages (6)
Github contributions (5)
Spain-AI/quantum-experiments
Aug 2020 - Sep 2021
Contributions:9 commits, 1 branch in 1 year 1 month
albarji/proxTV
Nov 2014 - Dec 2018
Matlab and Python toolbox for fast Total Variation proximity operators
Contributions:5 releases, 115 commits, 42 PRs in 4 years 2 months
matlabpythonproximal-operatorsoptimization-algorithmsmachine-learning
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