Mahmoud Shash is a Big Data Engineer at Orange Business Services, specializing in large-scale data platforms, observability systems, and machine learning infrastructure. With over a decade of experience, he designs and implements end-to-end data pipelines that power analytics, monitoring, and AI-driven decision-making across distributed environments.
His work spans modern data architectures, including real-time telemetry systems, federated learning pipelines, and concept-based explainability frameworks. Mahmoud has led initiatives to improve data processing performance, optimize system reliability, and enable scalable insights from high-volume, heterogeneous data sources.
He is currently focused on advancing interpretable machine learning through federated approaches, combining deep learning with explainability techniques such as concept activation vectors (TCAV). Mahmoud holds a Master’s degree in Computer Science and is known for bridging the gap between complex technical systems and practical, business-oriented solutions.More...