Nohossat Traore is a Data & ML Engineer with a decade of technical experience who transitioned from web development and creative work in Mexico to specialize in machine learning, MLOps, and large-scale data engineering. Currently at Avanade, he helps industrial clients in battery manufacturing build reliable data pipelines, productionize ML models with MLflow, and deploy backend services using Databricks, Azure Data Factory, Docker and FastAPI. He has led end-to-end AI proofs of concept—most notably a RAG-based business chatbot integrating Microsoft Fabric and LangChain—and contributes to internal data science tooling with a focus on testing and reproducibility. With formal training from the Ecole IA Microsoft and hands-on startup and freelance experience, he blends product-minded engineering, user-centered prototyping (Figma), and cross-functional collaboration. Colleagues value his ability to translate business needs into scoped technical plans and pragmatic roadmaps for industrializing AI.
10 years of coding experience
8 years of employment as a software developer
Professional course in Machine Learning, Artificial Intelligence, Professional course in Machine Learning, Artificial Intelligence at Simplon.co
CPGE ENS CACHAN, Economics and Management, CPGE ENS CACHAN, Economics and Management at Turgot High School
DEUG, Economics, DEUG, Economics at Paris 1 Panthéon Sorbonne University
Master of Management, Global Management, Master of Management, Global Management at Paris Dauphine University
Master of Science, Computer Sciences, Master of Science, Computer Sciences at Denis Diderot University
Contributions:61 PRs, 90 pushes, 2 branches in 2 months
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