Tahar Allouche
Senior Software Engineer - Scientific Engine at Descartes Underwriting
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolTahar Allouche is a Senior Software Engineer specializing in scientific engines at Descartes Underwriting, blending five years of industry experience with a strong academic foundation in optimization and mathematical engineering. He holds advanced degrees from ENSTA, Institut Polytechnique de Paris and is pursuing a PhD in Computer Science at Université Paris Dauphine, reflecting deep expertise in ML-driven research. His background spans AI research at CNRS to production-focused engineering, enabling him to translate cutting-edge algorithms into robust, risk-aware systems. An active open-source maintainer for Fairlearn, he contributes to fairness-aware ML tooling that informs ethical model deployment. Based in Paris, he combines rigorous optimisation skills with practical software craftsmanship to solve complex, real-world insurance and scientific problems. Colleagues describe him as a researcher-engineer who moves seamlessly from theoretical proofs to production code.
5 years of coding experience
4 years of employment as a software developer
Mathematics and Physics, Mathematics and Physics at IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de TunisEngineer's degree Mathematical Engineering, Engineer's degree Mathematical Engineering at ENSTAMaster's degree Optimization, Master's degree Optimization at Institut Polytechnique de ParisDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université Paris Dauphine - PSL
Arabic, French, English
Github Skills (17)
artificial-intelligence10
python10
machine-learning-models10
statistics10
machine-learning10
ai10
fairness-ml10
data-science9
scikit-learn9
data-analysis9
toloka8
scikit8
crowd8
aggregations7
crowdsourcing6
Programming languages (3)
Github contributions (5)
taharallouche/hakeem
Dec 2021 - Feb 2023
Flexible crowdsourced data labeling solutions for scarce and incomplete annotations
Contributions:4 releases, 1 review, 29 commits in 1 year 2 months
questionpythoncrowdsourcingdata-sciencedatalabeling
taharallouche/fairlearn
Nov 2024 - Mar 2025
A Python package to assess and improve fairness of machine learning models.
Contributions:102 pushes, 23 branches in 4 months
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