Manan Arya

I'm building smarter, more reliable UAV systems with the University of Alberta Aerial Robotics Group, where I develop sensor-fusion tooling and support autonomous flight operations.

I engineered a 128-step automated benchmarking suite for the OAK-D stereo camera and integrated it into Emu, the team's ground-station frontend. I've also built five-plus Python flight-test scripts and directed design reviews for 2D LIDAR and stereo camera systems.

At Marelli, I tested and debugged software across three releases, deploying C#-based testbench patches. I also built a machine-learning model for automated instrument-cluster stress testing that achieved 92% average accuracy and a labeling tool that processed roughly 2,600 images in 90 minutes.

Alongside engineering, I communicate technical work clearly through public presentations, research interviews, podcast co-hosting, and editorial leadership. I'm pursuing a Computer Engineering co-op degree in the Software option at the University of Alberta.