Ángel Panadero

Associate Professor

Madrid, Community of Madrid, Spain
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Summary

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Senior
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Top School
Ángel Panadero is an Associate Professor and applied AI specialist with nine years of experience designing and productizing data-driven solutions across academia and industry from Madrid. He combines a physics background with hands-on roles as an AI/ML engineer, architect, and instructor, moving projects from research and PoCs to scalable production systems using MLOps and DataOps best practices. Ángel has shaped technical offerings and presales proposals, mentored teams, and taught bootcamps and master's students, reflecting a strong aptitude for translating complex models into business value. His experience spans computer vision, real‑time pipelines, cloud deployments, and end-to-end ML lifecycle design, with frequent involvement in R&D and innovation initiatives. Notably, he balances rigorous academic insight with practitioner pragmatism—tweeting more than coding but delivering maintainable, production-ready solutions.
code9 years of coding experience
job6 years of employment as a software developer
bookGrado en Física, Ciencias físicas, Grado en Física, Ciencias físicas at Universidad de Salamanca
bookExperto en Data Science, Procesamiento de datos, Experto en Data Science, Procesamiento de datos at U-tad
languagesEnglish, python
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Github Skills (34)

data-analysis10
python10
r-package10
data-science10
statistics10
machine-learning10
webservice10
scikit-learn10
spatial10
cran10
maps9
r9
spatial-data9
gis9
anomaly-detection7

Programming languages (7)

RJavaScriptGoHTMLJupyter NotebookMATLABPython

Github contributions (5)

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Contributions:54 pushes, 2 branches in 4 years 9 months
This project consist on implementing common tree and forest algorithms in plain Python from scratch.
Contributions:41 PRs, 125 pushes, 35 branches in 4 years 2 months
pythonpython3plainscratchforest
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