Experience

UneeQ

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Team Lead

  • Dec 2020 - Present

  New Zealand

• Lead Scientist

  • Oct 2016 - Dec 2020

  New Zealand First dedicated developer on the digital human platform that the company later pivoted to work on exclusively. As a startup my purview was broad and covered: - Computer vision, machine learning and audio processing to make the digital humans smarter by better understanding the user and the environment they were operating in. This included advocating and helping to guide the roadmap for these aspects - Systems architecture: design, implementation and coordination across teams for various… Show more First dedicated developer on the digital human platform that the company later pivoted to work on exclusively. As a startup my purview was broad and covered: - Computer vision, machine learning and audio processing to make the digital humans smarter by better understanding the user and the environment they were operating in. This included advocating and helping to guide the roadmap for these aspects - Systems architecture: design, implementation and coordination across teams for various key pieces of the platform - Deep technical knowledge of the platform and domain to advance the company. This was exemplified in an improvement to the platform I devised and led the development of. It simultaneously reduced the amount of toil for developers whilst also saving the company hundreds of thousands in cloud computing costs through a clever and more efficient use of resources - Company advocate through various speaking engagements



Livestock Improvement Corporation (LIC)

• New Zealand
• Farming
• 700 & Above Employee

• Senior Scientist

  • Jul 2016 - Oct 2016

  Waikato, New Zealand

• Scientist

  • May 2014 - Jul 2016

  Waikato, New Zealand Technical lead on a project to invent and build an automated system to measure the "body condition" of dairy cows. We built an automated system which constructed a 3D model of any given cow, located key anatomical regions, extracted curves in these locations and then used machine learning to predict the "body condition score" of the cow given training data from three trained human scorers. This work earned a Kudos Engineering Science award in 2016



VIBLIO

• United States
• Technology, Information and Internet

• Computer Vision Advisor

  • Jun 2013 - Jun 2014

  San Francisco Bay Area



LayerX Limited

• New Zealand
• IT Services and IT Consulting
• 1 - 100 Employee

• Senior Software Engineer

  • Nov 2012 - May 2014

  New Zealand Lead engineer on two projects. Primarily a computer vision based system to aid in gambling harm reduction. The system worked by allowing concerned gamblers to enroll themselves into the system which used computer vision and face recognition to detect when the gambler attempted to use a gambling machine and would lock down the machine and notify staff to ask the person to leave



Cisco

• United States
• Motor Vehicle Manufacturing
• 1 - 100 Employee

• Software Engineer

  • Oct 2010 - Nov 2012

  New Zealand Software engineer in the video Analytics group of the Media Experience and Analytics BU, developing the Pulse Video Analytics product. - Invented and open sourced an automated sync and video quality analysis framework, and evangelized its use across many business units, resulting in significant improvements in quality, time efficiency and cost effectiveness (won the “Best Presentation & Technical Content Award” at Cisco’s Innovating Test Conference) - Invented a system for analyzing a… Show more Software engineer in the video Analytics group of the Media Experience and Analytics BU, developing the Pulse Video Analytics product. - Invented and open sourced an automated sync and video quality analysis framework, and evangelized its use across many business units, resulting in significant improvements in quality, time efficiency and cost effectiveness (won the “Best Presentation & Technical Content Award” at Cisco’s Innovating Test Conference) - Invented a system for analyzing a video recording utilizing a trained image classifier and supervised several interns in building a prototype, resulting in it becoming an important product feature - Invented a system for using AR for telepresence presentations and built an initial prototype, filed a patent and supervised an intern in building a second prototype utilizing a Kinect sensor - Started and managed an internship program with interns working on projects which led to real contributions to innovation and gave the team experience in supervision - Invented a system utilizing motion detection and scene recognition to automatically crop video recordings of telepresence meetings, built a prototype in my spare time resulting in demonstrations to many company VPs - Invented an HTTP streaming optimization algorithm - Worked co-operatively with colleagues with other specializations to co-invent several audio analytics ideas

• Software Engineer

  • Dec 2007 - Oct 2010

  New Zealand Worked on a Telepresence Content Server (TCS) which is an appliance for recording and streaming telepresence meetings. The TCS is a very successful product sold globally to many markets including educational and corporate institutions. - Research into face detection, tracking and recognition methods resulting in several implementations available for use within the company - Lead developer for the video editing functionality in the TCS transcoding engine resulting in a flexible and… Show more Worked on a Telepresence Content Server (TCS) which is an appliance for recording and streaming telepresence meetings. The TCS is a very successful product sold globally to many markets including educational and corporate institutions. - Research into face detection, tracking and recognition methods resulting in several implementations available for use within the company - Lead developer for the video editing functionality in the TCS transcoding engine resulting in a flexible and powerful product feature in wide use today - Developer for the TCS ContentEngine, a multi-threaded Win32 C++ application that is core to the product - Developer for the TCS H.323, SIP, and RTP protocol stacks which are a complex and integral underlying component of the ContentEngine



Jemerald Software Ltd

• New Zealand
• Software Development

• Software Developer

  • Jan 2007 - Aug 2007

  New Zealand Part-time software development work. During my time here I developed Directshow filters for streaming video from MPEG4 IP cameras over RTP, as well as a client for accessing such streams. Developed C# networking libraries for handling communications over TCP, RTSP.



The University of Waikato, Hamilton NZ

• Tutor (Graduate Assistant)

  • Mar 2003 - Nov 2006

  Tutor coordinator for COMP201 - Computer Systems. Tutor for COMP301 Operating Systems, COMP304 Graphics and Multimedia, COMP312 Communications and Systems, COMP404 Advanced Graphics and Multimedia



Baycom

• New Zealand
• Telecommunications
• 1 - 100 Employee

• Software Developer

  • Nov 2001 - Feb 2002

  New Zealand My second summer holiday working at Baycom while at University

• Software Developer

  • Nov 2000 - Feb 2001

  New Zealand I was a summer employee here while studying at University