Toronto, Ontario, Canada
Experienced lead engineer with thirteen years experience leading the requirements definition and design of new electronics, cameras, and electromechanical systems in UAV, Aerospace and Defense applications.
● Responsible for developing unique UAV sensor solutions by integrating the latest technology in the areas of dual-frequency GNSS-INS systems, Lidar sensors, cameras (visual, near-infrared, shortwave and longwave infrared), optical filters, and system calibration. ● Led a team of 2 data scientists developing automated computer vision and 3D point cloud processing algorithms in C++ and python using OpenCV (camera calibration, feature extraction / matching) and PDAL. ● Architected the hardware and software design of a UAV Lidar sensor system generating 3D point clouds with demonstrated survey grade accuracy (USGS QL2). This included leading the software development of the Windows QT application for processing raw Lidar sensor data. ● Project lead in the development of a high resolution 5-band multispectral UAV camera for the collection of agricultural health indices using computer vision techniques to process the imagery.
●Responsible for providing systems engineering support to the development of the next generation IONSCAN product for the trace detection of explosives. ●Supported Project Management by managing the configuration, status, and allocation of prototype units to satisfy demonstration, qualification, and internal engineering needs. ●Authored design documentation and engineering specifications. ●Developed system level test procedures to verify product functionality against system requirements documents. ●Performed software verification testing and identified software deficiencies against design documentation and system requirements.
● Engineering lead in the design, integration and ongoing support of two generations of Airborne Wide-Area Persistent Surveillance camera systems (88 and 332 Megapixel) that generated a real-time 2Hz orthorectified image using GPU accelerated computer vision techniques. ●Successfully completed prototype development and received customer acceptance of a 332 Megapixel camera system within 6 months of project kickoff through implementing a design that constrained project scope to changes driven by product requirements only. The approach reduced risk by rigorously constraining “nice to have” changes and leveraged existing hardware design and proven technologies. ●Developed the hardware roadmap to progress from an 88 Megapixel monochrome camera to a 332 Megapixel colour camera and evolving the sensor computing hardware from commercial rack-mount computers to utilizing rugged embedded VPX computers. ●Led hardware development activities as the design / technical authority on the sensor design including writing design specifications for hardware components, approving design changes, tracking technical issues, and managing the activities of subcontracted mechanical and electronics design efforts. ●Hands-on in the integration of new prototypes including first article integration of mechanical and electrical components, development of calibration techniques, debugging technical faults and determining root cause analysis. ●Supported business development efforts through the development of sensor simulation models, writing product specifications and RFQ technical responses, and managed airborne integration activities during product tests and demonstrations.