Product Development Engineer
Current• Developed test hardware for verifying blocks of the IC chip using python scripts to automate the extraction and process the data for later analysis. • Optimized touch controller settings in a customer end test station, doubling efficiency of this process that was previously done by hand, using machine learning algorithms, such as hill climb descent and genetic algorithm in python. • Correlated simulated capacitance data with empirical measurements using LCR meter for touch screen controllers, which allowed for improved sensor design framework. • Provided modeling data for touch sensor giving a way to reduce noise in touch sensing using Ansys. • Created test plans for new touch sensor designs, which allowed for bulk base characterization of the sensor.