I am a machine vision researcher with experience in a number of fields including surveillance, agricultural robotics, and visual speaker inconsistencies. I am focused on making robotic vision systems that are both platform and environment agnostic, and generalize between different domains without extensive data annotation or retraining. My experiences have led me to gain invaluable knowledge in computer vision, deep learning along with expanding my knowledge in agriculture by working with experts in the field. I have demonstrated the ability to work both individually and as part of an international team (both PhD's and PostDocs) resulting in primary and secondary publications. Finally, my track record in international collaboration has led to a number of publications along with leading a challenge at AVSS2018 which brought together high profile researches from Australia, the United States, and England.