Summary
Roman Rieunier is a Consultant Data Engineer with a decade of hands-on experience bridging machine learning, DevOps and full-stack development to build reliable, user-centric data platforms. Trained in applied cognitive science and computer science, he combines AI development know-how with a strong focus on usability and knowledge transfer, regularly documenting and mentoring to make complex tools accessible. He has led ML Ops and Data Ops initiatives across consulting and industry—industrializing models, CI/CD and data pipelines for insurers, energy and consumer goods—and currently supports Brussels public administrations and enterprise clients. Comfortable across Python, Airflow, Docker and React, he’s equally at home designing architectures and shipping pragmatic automation that improves reproducibility and maintainability. An expatriate from Bordeaux based in Brussels, he brings a systems-level perspective informed by early full‑stack and operations roles that still shape his practical, user-focused approach.
10 years of coding experience
6 years of employment as a software developer
Engineering degree Applied Cognitive Science, Engineering degree Applied Cognitive Science at ENSC - BORDEAUX INP
Associate's degree Computer Science, Associate's degree Computer Science at Université de Bordeaux
A-Level Engineer Sciences, A-Level Engineer Sciences at Lycée Sud Médoc
Japanese, Spanish, French, English, German, Japanese