• Developed embedded software for integrated inverters and onboard chargers for EVs

• Managed a team of 20 for the development of the embedded software for an aquatic ROV control system in C.• Coordinated the integration of Power Management Bus (PMBus), humidity and temperature sensors to enable safe operation of the thrusters and underwater electronics.• Led the implementation of an I2C 9-axis inertial measurement unit to improve navigational stability and accuracy.

• Spearheaded the development of software for an electric car’s control system with a team of 15 members.• Implemented a network of STM32 microcontrollers using CAN Bus to facilitate communication between the car’s motor, sensors, and user inputs.

• Designed and tested lithium battery management systems (BMS) for vehicles.• Implemented automated tests using Python and J1939 CAN protocol to test for BMS hardware faults.• Improved a custom protocol over SPI to increase data integrity by 70% and throughput speed by 3 times.• Developed real time applications in embedded C on Microchip AVR32 and Espressif ESP32 series microcontrollers using FreeRTOS to ensure the safe operation of lithium batteries in real time.• Debugged microcontroller SPI communications using logic analyzers, oscilloscopes, and JTAG debugger.• Deployed and supported BMS acceptance testing software using Python TKinter for manufacturer use.• Produced over 100 pages of software design and interface control documentation for internal use

• Led a multi-disciplinary team of 25 to design a consumer brain-computer interface to improve studying habits.• Designed and manufactured a 4-layer printed circuit board using KiCAD for the EEG (electrical brainwaves) sensor.• Programmed the SPI driver for the Texas Instrument ADS1299 EEG acquisition chip.

Working on machine learning for myoelectric controls on a prosthetic arm