Hassaan Farooqi developed a foundational localization package for the WATonomous/wato_monorepo, focusing on vehicle pose estimation using wheel odometry. He implemented a bicycle-model odometry approach in C++ and Python, enabling the system to estimate vehicle pose from wheel speeds and steering angle. To support robust testing and validation, he created a mock data publisher, allowing end-to-end evaluation of the localization pipeline. His work established a reusable pose-estimation framework that supports future SLAM and localization enhancements, facilitating safer integration with navigation components. The project leveraged ROS2 and Docker, demonstrating depth in robotics software engineering and modular system design.