I am Muhammad, a specialist in Computer Vision with expertise in object detection, tracking, segmentation, and advanced analytics. My skills in deep learning, PyTorch, and OpenCV drive my contributions to the field.

As an Ultralytics YOLOv8 contributor, I’ve developed solutions for workout monitoring, object counting, parking management, traffic analytics, and more. Notably, I created the tiger-pose dataset for estimating a walking tiger’s keypoints and contributed to brain tumor and wildlife object detection datasets.

My top work includes deploying solutions on Jetson Nano, addressing challenges like PPE monitoring, vehicle counting, and person tracking. I’ve also worked with deepstream-sdk to run multiple streams effectively on Jetson Nano for analytics and deployed models with encrypted weight files.