Sami Sawani

A driven and research-oriented AI/ML engineer with a Master’s degree in Communications/Electronics Engineering from the Technical University of Munich. Experienced in optimizing machine learning models for edge devices and backend systems, with hands-on expertise in HW/SW codesign, computer vision, and battery analytics. Demonstrated impact through first-author research accepted at DAC 2025, delivering significant latency and efficiency improvements for edge ML applications. Skilled in a range of tools and frameworks including PyTorch, TensorRT, Docker, and AWS. Strong programming proficiency in Python, C++, and VHDL, with multilingual capabilities (English C2, German B1). Proven success in both corporate and freelance environments across Europe, North Africa, and the Middle East.