Soufian Echabarri is a Data Science & AI Engineer with nine years of experience building and productionizing ML systems, currently completing a Master’s in Statistical Engineering & Data Science in Nantes while pursuing a PhD in signal processing and computer engineering. Based in Paris, he designed and deployed his company's first production-grade AI platform on Azure, industrializing models for over 50 industrial systems with >92% performance and implementing MLOps, dashboards and RAG-based LLM agents. His work spans fast surrogate models (e.g., reducing wind turbine simulation time from 23 minutes to 11 seconds), time-series forecasting for market liquidity, and anomaly detection in insurance claims—demonstrating both mathematical rigor and practical impact. A top-ranked maths graduate and promotion valedictorian from FSTT, he combines deep academic training with hands-on delivery across R&D, after-sales and commercial teams to turn complex models into scalable business solutions.
9 years of coding experience
1 year of employment as a software developer
Doctorant Cifre, Artificial Intelligence, Doctorant Cifre, Artificial Intelligence at Centre de Recherche en Automatique de Nancy
M2 Ingénierie Statistique & Data Science, M2 Ingénierie Statistique & Data Science at Nantes Université
Ingénierie Statistiques et Analyse Appliquée | Major de la promo, Ingénierie Statistiques et Analyse Appliquée | Major de la promo at FSTT
Run and Schedule Symfony Console Commands as Background Jobs
Contributions:5 PRs, 7 pushes, 4 branches in 1 year
consolesymfony-consolephpbackground-jobsschedule
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