Benose holds a B.Sc (Hons) Electrical and Electronic Engineering, and a Masters of Information and Communication Technology with a dissertation pathway in Artificial Intelligence. He deeply understands the workings of computer systems from both the software and hardware point of view due to his background and experience in both Electronic Engineering and Information Technology. During the course of his career, Benose has worked as a Network Engineer at Aviat Networks, Technology Solutions Architect at IPNX LTD, a Master’s AI Research Assistant at Griffith University and is currently an AI / Data Scientist and Software Engineer with SimpleClick. During his Master’s programs, he gained invaluable research and implementation skills on Deep Neural Networks, especially on Convolutional Neural Networks and how they can be used to detect/diagnose Malaria parasites in images of red blood cells. He loves and is very passionate about AI and believes that it can be used to change the world for the better.