Mohammed Belarbi is a Senior Data Engineer and PhD-level data scientist with nine years of experience designing and deploying production-ready machine and deep learning systems across cloud and edge environments. He combines deep expertise in computer vision (YOLO, SSD, OpenVINO), embedded AI on NVIDIA Jetson and Movidius hardware, and big-data pipelines (Hadoop, Spark, Kafka) to move models from research to scalable Docker-based architectures. Mohammed has repeatedly built resilient integration stacks—linking SQL Server, Vault, Samba, Kafka and container orchestration (Docker Swarm)—and has led LLM adaptation and retraining for domain-specific datasets. His background as an academic researcher and hands-on trainer gives him a rare blend of rigorous experimentation, energy-aware modeling, and practical deployment know-how across AWS, Azure and on-premise systems. Based in Mons, Belgium, he is equally at ease optimizing inference on edge devices as mentoring teams to adopt cloud-native surveillance and analytics solutions.
9 years of coding experience
10 years of employment as a software developer
Doctorat de philosophie, Informatique, Doctorat de philosophie, Informatique at Univeristé de Mons
Master en Informatique, Ingénierie des systèmes d'information, Master en Informatique, Ingénierie des systèmes d'information at Université de Mostaganem
Contributions:1 release, 5 commits, 34 pushes in 11 months
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