Summary
Daniel Bentall is a data scientist based in Canterbury, New Zealand, with 14 years of engineering experience transitioning from mechatronics and electronics to applied computer vision and machine learning. He has driven end-to-end product development across firmware, hardware and software, and has built production-focused computer vision applications for plant and bioeconomy research institutions. Comfortable in fast-changing, multidisciplinary teams, Daniel blends hands-on prototyping skills with practical ML deployment experience and a deep appreciation for the constraints of physical systems. His background as a mechatronics engineer gives him an uncommon edge in solving vision problems that must integrate with real-world devices and sensor hardware.
14 years of coding experience
13 years of employment as a software developer
Bachelor of Engineering (BE) (Hons), Mechatronics Engineering, Bachelor of Engineering (BE) (Hons), Mechatronics Engineering at University of Canterbury