Amine Saboni is an MLOps engineer based in France with seven years of experience building and industrializing data and ML pipelines across enterprise and startup environments. He has moved from full-stack and data engineering roles into MLOps, currently driving production ML at Pruna AI and serving as maintainer and treasurer for the sustainability-focused open-source project CodeCarbon. His backend contributions to CodeCarbon include API, authentication, and schema improvements—work that pairs technical rigor with environmental impact awareness. At OCTO and later employers he led large-scale initiatives such as datamesh semantic modeling for ST Microelectronics and ML pipeline modernization on Databricks and Azure. Comfortable across Python, cloud platforms, Kubernetes, and ML frameworks, he blends hands-on coding with architectural design and cross-functional delivery. He holds an MBA in Management and Big Data and brings a rare combination of business context and engineering depth to operationalizing ML.
7 years of coding experience
5 years of employment as a software developer
Technologie informatique / technologie des systèmes informatiques, Technologie informatique / technologie des systèmes informatiques at UVSQ Université de Versailles Saint-Quentin-en-Yvelines
Master of Business Administration (MBA) Management et Big Data, Master of Business Administration (MBA) Management et Big Data at Ionis-STM, école de double compétence
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Role in this project:
Back-end Developer
Contributions:231 reviews, 16 commits, 107 PRs in 1 year 7 months
Contributions summary:Amine primarily focused on back-end development tasks within the `codecarbon` repository. They contributed significantly to the API, including implementing API key validation for organizations and teams, and refactoring the user authentication process with password hashing. Further contributions involved database schema changes, test improvements, and general code cleanup, demonstrating a strong understanding of the project's backend architecture. The commits also show a refactoring of the routers, specifically around emissions and project data.
Contributions:5 reviews, 5 PRs, 63 pushes in 1 year 5 months
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