Software development & research team

As a student researcher, I developed key control algorithms for autonomous racing. In collaboration with a diverse, interdisciplinary team, I assembled a full robotics stack using ROS, which included researching and testing multiple localization and mapping algorithms, calibrating sensors, and more. Additionally, I assisted graduate students in algorithm development using my experience in robotics.I also had the opportunity to work on a robotic arm-based intelligent pick-and-place project. During this project, I gained experience with Numpy, Open3D, point cloud manipulation, Eigen, C++, and ROS. Specifically, I wrote a module to detect pins, which were small, rectangular prism-shaped plastic pegs, using point cloud segmentation and a plane-based detection algorithm. This resulted in a large accuracy improvement compared to the previous version of the module. Additionally, I built visualization tools using ROS2 and Rviz to aid with development and a control UI written in Python and ROS2.

As the Software Lead, I am responsible for managing the software subteam by heading up projects, scheduling meetings, educating and supporting others, and representing the club at outreach and networking events. Currently, I am leading multiple full-stack projects centered around flight planning and image labeling, both of which are on track for completion.Additionally, I maintained and extended the club's Linux-based computing infrastructure. I successfully dealt with a malware event on a club computer, which included communicating with the NC State IT department. Additionally, I developed a networked, automated, and cross-platform data backup system for the club's computers.

During this position, I labeled image datasets to train the company's deep learning model. I worked with supervisors to ensure that the labeling was correct and high-quality. Additionally, I beta-tested company software and provided feedback on improvements. This position was short-term and contract-based.

During this position, I labeled image datasets to train the company's deep learning model. I worked with supervisors to ensure that the labeling was correct and high-quality. Additionally, I beta-tested company software and provided feedback on improvements. This position was short-term and contract-based.