Summary
Florent Pietot is a cofounder and hands-on machine learning practitioner with 11 years of experience helping organizations operationalize ML and AI from prototype to production. Based in Paris, he leads nibble.ai, delivering a blend of data science, ML engineering and MLOps services alongside custom in-house tooling to unlock value and avoid common scaling dead-ends. His background as a freelance ML consultant exposed him to the full stack of applied ML—Python data ecosystems, TensorFlow, Scikit-Learn, XGBoost/LightGBM, NLP toolkits, PySpark, and deployment with Docker, AWS and CI—so he moves seamlessly between modeling, engineering and DevOps. He’s comfortable building production-grade APIs, data pipelines and automated tests, and has practical experience parsing structured text and embedding ML into operational workflows. That combination of strategic leadership and deep technical craft makes him effective at translating ambiguous business problems into robust, auditable ML systems.
11 years of coding experience
2 years of employment as a software developer
English, French