Nabil Abdellaoui is a Machine Learning Engineer with a decade of experience building production ML systems, from credit underwriting at Tala that helped deliver over $2B in loans to simulation-driven risk tools for leading DeFi protocols like Aave and Blueprint. Trained in mathematics and cognitive science, he blends rigorous modeling, experimentation, and product-focused engineering—skills honed during 12+ years of freelance software work and a SaaS insurance platform that was acquired by a Solera brand. At Gauntlet, Web3 Foundation and Blueprint he translated economic and cryptographic risk into scalable simulation frameworks, and today he explores the intersection of ML, AI and decentralized systems through projects like app.datascience.art for Farcaster. Known for shipping end-to-end solutions (modeling, deployment, monitoring) and for building foundational data infrastructure, he brings an uncommon mix of domain depth in credit risk and hands-on DeFi simulation experience.
10 years of coding experience
17 years of employment as a software developer
Master's degree (DEA) Cognitive Science, Master's degree (DEA) Cognitive Science at EHESS - Ecole des Hautes Etudes en Sciences Sociales
Master's degree (Maitrise) Mathematics, Master's degree (Maitrise) Mathematics at UNIVERSITÉ RENÉ DESCARTES (PARIS V)
Contributions:1 review, 9 PRs, 46 pushes in 1 year 4 months
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Nabil Abdellaoui - Machine Learning Engineer at Data Science Art