•Implemented perception and motion planning for level 1 autonomy for an electric car. •Used Python and ROS on Nvidia Jetson Xavier with a camera to detect obstacles and automatically brake. •Utilized Pytorch to train a lane-keeping model. •Implemented sensor fusion by combining a lidar module with a stereo camera for increased accuracy. •Utilized Pytorch to train a model that segments the road and provides the local planner with a labeled point cloud.

•Trained models to segment people, cars, in thermal images. •Evaluated and compared model performance. •Presented status updates to senior management. •Created and cleaned both synthetic and real datasets for model training

•Designed and implemented PAEB (Pedestrian Automated Emergency Braking) for a chassis. •Implemented image processing using stereo camera and ROS on Nvidia Jetson Xavier. •Research Assistant on an NSF grant for autonomous camera-based navigation integrated with a thermal monocular ranging camera.