Mohamed Berrimi is an AI Engineer and Google Developer Expert in Cloud and Machine Learning with eight years of experience building production-grade applied AI systems, currently focused on advanced conversational search for Arabic at Fyler. He is pursuing dual PhDs—one in AI for 3D MRI analysis and another in NLP for Arabic—bridging medical imaging research and language technologies in ways that inform practical product work. Formerly a CTO and a machine learning engineer on medical imaging projects, he combines hands-on deep learning model development with product and infrastructure experience. Based in Paris, he is active in global developer communities and known for translating academic research into deployable systems that address language and healthcare challenges.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy, Artificial Intelligence, Doctor of Philosophy, Artificial Intelligence at University of Orleans
Doctor of Philosophy - PhD, Artificial Intelligence for 3D MRI analysis, Doctor of Philosophy - PhD, Artificial Intelligence for 3D MRI analysis at Université d'Orléans
Doctor of Philosophy - PhD, Natural language processing for Arabic text, Doctor of Philosophy - PhD, Natural language processing for Arabic text at Université Ferhat Abbas, Sétif
This a RESTFUL API that runs over a deep CNN model that have been trained to classify image if it contains Breast cancer or not.
Contributions:2 PRs, 6 pushes, 2 branches in 4 years 9 months
cnn-modelrestful-api
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