Safoine Khabich

Machine Learning Engineer at ZenML

Rabat, Rabat-Salé-Kénitra, Morocco
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Summary

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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.
code8 years of coding experience
job2 years of employment as a software developer
bookMaster's degree, Master's degree at Université Mohammed V de Rabat
booklicence professionnelle, licence professionnelle at FST Settat
bookDIPLÔME UNIVERSITAIRE DE TECHNOLOGIE, DIPLÔME UNIVERSITAIRE DE TECHNOLOGIE at Ecole Supérieure de Technologies AGADIR
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Github Skills (14)

docker10
mlops10
python10
dockers10
pytorch9
kubeflow9
tensorflow8
machine-learning8
cli8
ml8
data-science7
devops7
devtools7
pipeline7

Programming languages (9)

SmartyC++CVueJavaScriptGoHTMLJupyter Notebook

Github contributions (5)

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zenml-io/zenml

Mar 2022 - Jan 2023

ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Role in this project:
userMLOps 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.
devops-toolspythonproduction-readytensorflowproduction
safoinme/zenml

Mar 2022 - Oct 2023

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