Mohamed Hmini is an MLOps Engineer based in Llandudno with eight years of experience building data-driven systems and production ML pipelines. He currently focuses on MLOps at Viridien after transitioning from hands-on data engineering roles where he automated sitemaps and productionized data workflows. His background spans research-grade ML—synthesizing and embedding Boolean networks at LaBRI—to practical web-mining and content-detection tooling developed early in his career. Comfortable across the stack, he blends software engineering, feature selection, and resynthesis techniques to move models from experimentation to reliable deployment. Mohammed’s portfolio reveals a pragmatic open approach to tooling and reproducibility, reflecting a knack for turning research insights into maintainable engineering solutions.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MSc Information Systems & Intelligent Systems, Master of Science - MSc Information Systems & Intelligent Systems at Institut National de Statistique et d'Economie Appliquée (INSEA)
DUT degree Software Engineering, DUT degree Software Engineering at Ecole Supérieure de Technologie de Meknès (ESTM)
Bachelor's Degree Big Data & Information Systems, Bachelor's Degree Big Data & Information Systems at Ecole Supérieure de Technologie de Sale (ESTS)
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