Hamza is an deep learning and data analyst enthusiast who has been an part of CITY since August of 2023. After earning his bachelors in Electrical Engineering from LUMS, he joined CITY to polish his skillset on diverse set of projects. Hamza aims to solve numerous local problems present in urban sectors such as traffic flow forecasting by proposing learning-based solutions. Furthermore, he also contributes to deep learning theory by leading the projects around generative models such as Stable Diffusion to improve their generation capability in the most reliable way possible. Hamza has multi-year experience in deep learning and proficiency in applying deep learning methodologies across various domains which make him an indispensable member of CITY.