• Developing RTOS-based distributed flight computer system in C with STM32H7/STM32L4 devices• Implementing data preprocessing, prioritization, and compression methods utilizing CAN protocol• Integrating analog and digital sensors with actuators and RF communication for data processing and telemetry

• Developed STM32 and nRF52 sensor drivers including 9DOF IMUs, SD card readers, and PDM microphones• Created Zephyr RTOS-based firmware for both nRF52840 and STM32U5 devices• Implemented and validated UART-based file transfer with embedded WiFi modem• Developed and tested firmware for suite of commercial medical ICs including ECGs, PPGs, and microphones• Profiled and debugged SD card connectivity, sensor synchronization, and interrupt-based sampling frequency issues• Integrated and validated I2C, SPI, and ADC ICs using oscilloscopes, soldering irons, and multimeters

• Achieved <5% length estimation error with state-of-the-art AI stereoscopic depth estimation techniques• Evaluated performance of depth estimation neural networks on ex-vivo models using medical-grade equipment• Achieved 100% increase in data reception rate on Raspberry Pi by porting to optimized C++ TCP communication

• Developed full-stack web applications for data collection and analysis to streamline team strategic decisions• Coached team of 20+ students to record strategic data precisely and astutely in high-stakes competition setting• Taught students asynchronous-JavaScript concepts to develop basic API-based web applicaitons• Developed communication, leadership, time management, and collaboration abilities• Committed 25+ hours weekly during build and competitive season alongside other extracurricular activities