Khalil Elkhalil
Senior Applied Scientist at Amazon
Bellevue, Washington, United States
Summary
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Senior🎓
Top SchoolKhalil Elkhalil is a Senior Applied Scientist at Amazon with eight years of experience bridging theoretical statistics and production ML. He brings deep expertise in random matrix theory, high-dimensional statistics, and statistical machine learning developed during a PhD/MS at KAUST and research fellowships at Duke University. At Duke he collaborated with leading theorists on large deviations and practical data-science problems, and he has transitioned that rigorous research background into applied work driving ML solutions at Amazon. Based in Bellevue, Washington, he combines academic rigor with product-focused experimentation, often translating complex probabilistic insights into scalable models. An uncommon strength is his fluency across both pure theory and engineering deployment, enabling him to tackle noisy, high-dimensional problems end-to-end.
8 years of coding experience
7 years of employment as a software developer
MS/PhD, Statistics, MS/PhD, Statistics at KAUST (King Abdullah University of Science and Technology)DEUPC, Mathematics-Physics, DEUPC, Mathematics-Physics at IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de TunisBachelor's degree, Applied Mathematics & Telecom, Bachelor's degree, Applied Mathematics & Telecom at SUP'COMDuke University
FrenchProgramming languages (1)
Github contributions (5)
KhalilElkhalil/khalilelkhalil.github.io
Feb 2019 - Jul 2022
https://khalilelkhalil.github.io
Contributions:93 pushes, 1 branch in 3 years 6 months
Contributions:14 commits, 13 pushes, 1 branch in 2 years 3 months
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