I lead a stellar team of data scientists and machine learning experts designing and building predictive systems to help farmers better manage their pasture performance, and livestock health and wellbeing.Technologies involved include remove sensing using satellite imagery and beyond, time series modelling and sensor fusion.

At Imagr I lead the engineering organization, a cross-discipline organization spanning machine learning, product software, firmware and hardware domains. Our organization worked on the bleeding edge of computer vision technologies, developing a highly complex vision system to change the way we shop.

At Facebook, I worked within the AR/VR Core Technologies group to develop computer-vision based technologies to enable the next generation of AR and VR experiences.

Full-breadth managerial experience in highly dynamic and challenging environments. Hands-on involvement in solving complex, bleeding-edge computer vision problems for virtual reality applications. Technical competencies: Computer vision (including multi-view geometry and applied machine learning), C++, Python, OpenCV, tensorflow, VR/VFX tool development in Nuke and Houdini, cross-platform development.Manager of the light-field playback and content delivery development team: A high performing research and development team, defining the future of light-field compression standards, and creating bleeding edge real-time rendering systems.Previously manager and individual contributor on team responsible for R&D of visual effects tools for post-production manipulation of light-field volumetric data for virtual reality. Helped bootstrap the applied machine-learning team, applying CNNs to real-world problems. Manager of teams responsible for camera software development, and cross-platform domain layer libraries.

Technical lead for cross-platform client application core. A highly cross-functional role, involving the development of a technical stack comprised of C++, resource-constrained cross-platform development, DOM design, Database design.

Member of the consumer technology team. Worked on the integration phase of high end TomTom devices. Broad development experience in teams developing both Linux, Webkit and Android based consumer products. Development in technology and productization fields, expertise in safety camera communication system. Exposure to technical lead and scrum master responsibilities. Extensive crash analysis, tool development and exposure to webkit and service oriented architectures.

Technical lead for globally deployed consumer product. C++ development. STL, Embedded development, Experience with memory management, UI development, UI toolkit development and optimisation.

Scholarship position working alongside a leading academic in the fields of image processing and computer vision. Research was conducted to determine a means of estimating river flow direction based on a digital scan of a dry river bed.

I joined Phitek - an acoustic solutions development company - while they were a branch of the SLAB (SoundLab) group, through to their move to becoming an independent company. Exposed to a wide range of tasks, from application development to product testing.