Developed a predictive regression model in MATLAB with 95% accuracy to quantify grain orientation effects on theoretical stress-strain values and optimize 3D printing processes for nickel-based superalloys. 

Developed a MATLAB stationary-tracking simulation using a discrete Kalman filter and guidance-law model to improve target-position estimates and reduce target position error by 25% compared to raw sensor readings.

Developed a MATLAB algorithm using the Driving Scenario toolbox to simulate a real-life driving scenario, process path data, detect obstacles, and compare simulation data. Also constructed MATLAB Simulink models of lateral, longitudinal, and Stanley controllers to process real-time path inputs and deliver steering commands to achieve a 100% path accuracy.

Developed a mechanical robot arm that integrates Arduino coding logic, kinematics system modeling, and the physical implementation of servo motors and an infrared sensor. Coding logic was responsible for sending commands to the servo motor and keeping track of baskets made based on the data from the infrared sensor.