As the Principal Engineer of the Industry Solutions Team within the Australian Institute for Machine Learning (AIML), I bring a wealth of knowledge and experience to my research focus of perception and scene understanding for autonomous vehicles. My expertise includes vision-based object tracking, monocular and stereo camera calibration, camera to LiDAR registration, satellite imagery segmentation, pixel to control based reinforcement learning, and perspective-to-birds-eye-view fusion, which are essential to advancing the capabilities of autonomous vehicles.My expertise is not limited to autonomous vehicles, I have also applied my knowledge to other cutting-edge fields such as working on submarines as an engineer in defence and designing and building electronics to track electron beam positions in linear accelerators as a physicist. I am also committed to using my skills to aid in conservation efforts through the use of artificial intelligence, audio processing and computer vision to identify animal species.I have a proven track record of delivering innovative solutions and have a passion for my work and am committed to staying at the forefront of technology.