Akram Zaytar

Senior Research Scientist at Microsoft

Tangier, Tangier-Tetouan-Al Hoceima, Morocco
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Summary

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Akram Zaytar is a Senior Research Scientist at Microsoft AI for Good Lab with 11 years of experience applying GeoAI, deep learning, and probabilistic ML to climate and geospatial problems. He previously led research at IBM on scalable climate informatics, building hazard impact estimators, seasonal crop maps, and post-processing models for sub-seasonal forecasts. His work bridges academic rigor (PhD in AI and Climate Science) with production-facing solutions—weakly supervised fraud detection and edge-enabled farm twinning—demonstrating both methodological breadth and applied impact. Based in Tangier, he combines expertise in computer vision, explainable ML, and Bayesian methods to turn satellite imagery and forecasts into actionable risk insights. An interest in interpretable features for extremes and operational forecast calibration sets him apart from typical ML practitioners.
code11 years of coding experience
job1 year of employment as a software developer
bookMaster's degree, Computer Systems and Networking, Master's degree, Computer Systems and Networking at Faculty of Science and Technology Tangier
bookBachelor in Applied Mathematics and Computer Science, Mathematics and Computer Science, Bachelor in Applied Mathematics and Computer Science, Mathematics and Computer Science at Université Abdelmalek Essaâdi
languagesEnglish, Arabic, French
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Github Skills (74)

github10
deep-learning10
fastai10
lstm10
git10
sgd10
artificial-intelligence10
tensorflow10
backpropagation10
machine-learning10
keras10
scikit-learn10
python9
federated-learning9
jupyter-notebook9

Programming languages (5)

TypeScriptJupyter NotebookVim ScriptRich Text FormatPython

Github contributions (5)

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Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
Contributions:12 commits, 1 PR, 11 pushes in 1 year 5 months
deep-learninggomachine-learningartificial-intelligenceneural-networks
TwoBrainsCode/template

Jul 2022 - Feb 2026

Cookiecutter template for productive machine learning.
Contributions:19 PRs, 31 pushes, 23 branches in 3 years 7 months
templatepythonmachine-learningproductivecookiecutter-template
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