Perception And Automation Software Lead
• Leading and motivating a dynamic team of 6 through an agile framework, meticulously selected via professional interviews, to drive the AREO software suite development for an autonomous VTOL.• Implemented an industry-leading flight stack featuring QGroundControl, PX4 autopilot, and ROS2. Maximized performance with a Linux based on-board NVIDIA Jetson Nano, employing a YOLOv5 object detection model trained on an extensive dataset of 3000+ images, with 90% accuracy.• Engineering specialized autonomous flight software for seamless compatibility with custom flight controllers, elevating overall operational efficiency to achieve commendable performance in the Student UAS Competition, hosted by the Aerial Evolution Association of Canada.