• Developed a real time distributed monitoring system to detect GPS interference and localize the origin with digital signal processing.

• Optimized network bandwidth utilization by reducing data traffic by over 60% across the central control network, achieved through the multi-threaded implementation of UDP, TCP, HTTP, and MQTT protocols written in C and C++ with sockets.

• Applied a variety of object-oriented design patterns in C/C++ to enhance readability and flexibility within the system, resulting in a system that is easier to maintain and extend. Utilized profiling tool Valgrind.

• Coded programs and scripts using C and Bash to achieve low-latency control and integrate devices, including USRP software-defined MIMO radios and Ublox positioning chips, within the Linux-based system.

• Developed front-end features by leveraging the C++ GUI library (Qt) for seamless integration with the back-end.

• Improved the redundancy of an autonomous system by developing a real time algorithm that utilizes the last known GPS position and active radar sensor data to produce an accurate position when GPS is not available.

• Implemented numerical techniques and predictive model algorithms in Python, such as extrapolation, linear regression, and gradient descent, to optimize the program and minimize error. Developed using object-oriented design patterns, streamlining the incorporation, and testing of diverse algorithms, data filtering, and outlier rejection techniques.

• Managed club logistics and event planning, contributing to a 300% increase in membership (200+ new members).