Mhammad

Computer and Communications Engineering professional specializing in the intersection of applied artificial intelligence, embedded systems, and industrial automation. Proven expertise in deploying computer vision (YOLOv8, MediaPipe) and edge machine learning (TensorFlow Lite Micro, PyTorch) for real-time, physical-world applications. Demonstrated capability in advancing autonomous agent architectures (RAG, MCP) for operational technology security and publishing rigorous deep learning research