• Implement embedded control system and firmware for microcontrollers and sensors in C• Develop HDL code for FPGA-based digital designs for applications with strict timing requirements• Design, simulate, and build PCBs used to control high power motor drives for electric aircraft • Work closely with both the electrical and hardware engineering team at GRC

• Developed Automated Test Equipment (ATE) procedures for TI’s next-gen power management ICs using C++• Developed a fifth of total trim tests that adjusted the chip’s electrical characteristics to precise specifications by writing to registers using I2C communication protocols in order to trim oscillators, bucks, and LDO regulators• Developed the diagnostics protocols to test the PCB design of the ATE for both the wafer probe and interface boards• Utilized the test procedures developed during the internship to trim and verify the first customer samples

• Programmed a machine learning model using OpenCV in Python to detect plasma nanoparticles deposited onto graphene, achieving a 97% nanoparticle detection accuracy• Evaluated the data derived from the analysis of the photos and investigated traits and connections between various characteristics of the plasma nanoparticle distribution• Lead a team of 5 research assistants by delegating tasks, overseeing projects, and maintaining electrical safety standards• Built an Arduino circuit system to analyze analog voltage output of a pressure gauge increasing pressure reading accuracy by 75% and eliminating the need to log pressure readings by hand