Achraf Lassoued is a Machine Learning Engineer with eight years of experience turning mathematical rigor and curiosity into production-ready AI systems, currently building evaluation-first LLM tooling at Multiverse Computing. He designs measurement-driven benchmarking platforms and targeted prompting strategies that improve model reasoning, tool use, and real-world deployability—helping teams choose models with clear, standardized insights. His background spans academic research at IRIT and hands-on internships in finance and industry, blending theoretical depth from École Supérieure de la Statistique with practical ML pipeline delivery. Obsessed with elegant math and practical optimization, he focuses on making models actually solve hard problems rather than just perform well on paper. A data-science PhD on GitHub, he brings a researcher’s rigor to engineering constraints, prioritizing reliability and auditable evaluation in LLM systems.
8 years of coding experience
1 year of employment as a software developer
École Supérieure de la Statistique et de l'Analyse de l'Information
Cycle preparatoire Math-informatique-physique Mathematics and Computer Science, Cycle preparatoire Math-informatique-physique Mathematics and Computer Science at University of Tunis El Manar
Contributions:129 pushes, 1 branch in 3 years 2 months
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Achraf Lassoued - Machine Learning Engineer at Multiverse Computing