Safoine Khabich is a Machine Learning Engineer with eight years of experience building and deploying ML systems, currently working at ZenML where he focuses on bridging ML and Ops. He contributes to the popular open-source ZenML project, improving model deployment, secrets management, remote PyTorch storage, and CLI ergonomics—practical work that helps teams take models to production. His background spans roles in data science, NLP research, and full-stack development, giving him end-to-end perspective from data pipelines to deployment. Based in Rabat, he combines hands-on engineering with a knack for improving developer tooling and operational reliability, often surfacing subtle integration fixes that prevent production incidents.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Master's degree at Université Mohammed V de Rabat
licence professionnelle, licence professionnelle at FST Settat
DIPLÔME UNIVERSITAIRE DE TECHNOLOGIE, DIPLÔME UNIVERSITAIRE DE TECHNOLOGIE at Ecole Supérieure de Technologies AGADIR
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Role in this project:
MLOps Engineer
Contributions:12 releases, 435 reviews, 103 commits in 10 months
Contributions summary:Safoine primarily focused on enhancing the ZenML project's functionality related to model deployment and integration with various machine-learning tools. They fixed bugs related to secrets management, particularly in the context of Dockerfile generation and Kubeflow integration. Furthermore, the user worked on supporting remote storage for PyTorch models and improving the CLI for better command grouping and display. They also addressed issues in Keras materializers and refined the core logging configuration.
ZenML 🙏: MLOps framework to create reproducible pipelines.
Contributions:5 PRs, 51 pushes, 6 branches in 1 year 7 months
zenmldata-sciencecmlmachine-learningreproducible
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Safoine Khabich - Machine Learning Engineer at ZenML