Moh Rafik

Technology | Research | Innovation

A Bit About Me

I build AI systems that transform complex data into real, usable intelligence. My work sits at the intersection of Machine Learning, Computer Vision, MLOps, and 3D data analytics, where I focus on designing end-to-end intelligent systems that go beyond models towards solutions that are deployable, scalable, and impactful in real environments. At CNR-STIIMA (Bari, Italy), I work on Python-based AI pipelines, data processing frameworks, and immersive AR/VR applications for advanced tomographic analysis and interactive data visualization. The goal is to make complex scientific and industrial data understandable, explorable, and actionable through intelligent software systems. Before this, I worked on CERN CMS collaborations in Geneva, contributing to detector systems (GEM/RPC), DAQ electronics, and large-scale physics data analysis through roles at INFN Bari and the University of Delhi. This experience gave me strong hands-on exposure to signal processing, high-throughput data acquisition systems, and ML-driven analysis of experimental physics data. Across these roles, my focus has remained the same: building intelligent, data-driven systems that connect models with real-world applications, from scientific research environments to applied AI solutions. I enjoy working at the intersection of AI and engineering, where ideas move from research prototypes into systems that run, scale, and deliver real products.