Robert Cimpeanu is a Machine Learning Engineer, passionate about cutting-edge technologies, focused on model optimization and fine-tuning processes for deployment on embedded devices. His work is primarily concentrated on exploring innovative transformer-based networks suited for edge devices and implementing the most effective quantization methods in order to achieve the best possible solution. Robert has a master’s degree in Computer Vision and Intelligent Systems from the Politehnica University of Bucharest.