Efficient software & hardware architectures in Data Vision
My work as Principal Software Engineer within the Applied Technologies division is mainly in machine learning, computer vision and software engineering using embedded systems.
Throughout my career, I have had the privilege of collaborating with kiwi companies, from startups to well-established organisations for whom I design robust and efficient hardware/software architectures that meet the unique needs of each project. It is rewarding to work alongside incredibly brilliant and intelligent colleagues within Callaghan Innovation, fostering a stimulating environment for continuous learning and knowledge sharing. We all know that our work is ultimately contributing to the growth and progress of New Zealand Inc.
Machine learning has come a long way since it was first named by Arthur Samuel in 1959 when he created a computer algorithm to play checkers (draughts) against humans.
I have been involved in several notable projects, such as building a dynamic 3D scanner for log identification, performing golf-swing analysis using interconnected Machine Learning models via a REST-API, and developing a Large Language Model for Iwi Data Discovery.