Muhammad Usama

Muhammad Usama is an accomplished professional in the field of artificial intelligence and machine learning, with diverse experience spanning research, engineering, and training roles. Starting as a Research Intern at the National University of Sciences and Technology (NUST), Muhammad contributed to training artificial neural networks and implementing adversarial attacks. As an Artificial Intelligence Engineer at Aeyron, Muhammad developed custom chatbots and advanced models for object detection and recognition. Currently serving as a Postgraduate Autonomous Driving Researcher at Valeo, Muhammad focuses on sensor fusion techniques to enhance perception systems. Muhammad has also held research fellowships and consulting positions, including work in precision agriculture and autonomous systems, and has contributed to several projects using cutting-edge technologies. Muhammad holds a Bachelor of Engineering in Electrical and Electronics Engineering from NUST.