-Enhanced hardware performance of the YOLOv3 object-detection model in collaboration with a PhD researcher
-Integrated the keypoint-based object detection approach CornerNet into the original model, improving the efficiency of the real-time detector YOLOv3 by 12%
-Used NVIDIA Apex to achieve mixed precision training in PyTorch on both models