Aidan is a 4th year student in the Robotics option of Engineering Science at the University of Toronto. An engineering designer first, Aidan builds upwards from fundamentals to deliver elegant and efficient solutions to problems, exemplified by his work at ILead and Intel. His past projects span everything from mechanical and circuit design to machine learning and game development. After hours, he spends his time playing Ultimate Frisbee and improving his blacksmithing skills.
Research and development of Intel's FPGA-based Deep Learning Inference Accelerator (DLIA), optimizing OpenCL machine learning primitives to improve inference throughput.
Improved the usability of FPGA CAD software and floorplanning tools, building customer visible features for the Blueprint Platform Designer and Chip Planner.
Design of a to-scale online system designed to promote the development of team skills in engineering undergraduates. This system is now used by more than a thousand students every year, and is in the process of expanding to serve universities across North America.