About The Engineer
Architecting AI-driven data platforms, mentoring teams, and translating complex use cases into reliable products.
Profile
With a background that spans data engineering, big data operations, and applied AI, I deliver projects from the first ingestion scripts to automated production pipelines. My day-to-day blends hands-on development with platform design, ensuring every solution scales, monitors, and documents itself.
I work seamlessly across international teams, driving initiatives with autonomy, pedagogy, rigour, curiosity, and a strong analytical mindset.
Soft Skills
Education
2025 – Degree Architecte en Intelligence Artificielle (RNCP niveau 7), JEDHA, Paris. Focus on transforming business cases into deployable AI solutions, designing predictive models, and industrialising workflows with Kubernetes, Airflow, Jenkins, and MLflow.
2021 – Degree Ingénieur Data (RNCP niveau 7), Datascientest & MINES ParisTech. Covered statistical modelling, machine learning with Scikit-learn, exploratory analysis, SQL and NoSQL databases, big data architectures with Hadoop, Spark, Kafka, and automated deployments via APIs, Docker, Airflow, and Kubernetes.
2017 – Degree Expert en Informatique et Systèmes d'Information (Master Bac+5), SUPINFO Paris. Completed internships as a JEE developer across finance and e-commerce projects, building web applications and back-end services.
Language
Professional English (C1) – capable of delivering documentation, workshops, and stakeholder presentations.