Developed a black screen failure detection algorithm (94.5% accuracy) in Python using OpenCV that successfully helped reproduce and debug a critical black screen failure (0.02% occurrence rate) observed in the field on the integrated center stack

Automated instrument cluster validation by developing a feature detection algorithm using OpenCV to detect telltale warnings, speed and turn signals when respective CAN signals are simulated in Python

Conducted yield and matrix characterization studies using automatic test equipment (ATE) and JMP to model fabrication process deviations and ensure they would not affect device reliability and functionality