Computer Engineer with hands-on experience in hardware design, embedded systems, and power electronics. Skilled in circuit design, PCB layout, and low-level system bring-up using Linux. Proven ability to bridge hardware and software through embedded C, scripting, and diagnostic tools. Strong background in real-world system debugging, FPGA prototyping, and UPS/power systems from internship and Formula SAE experience. Looking to contribute to technically challenging projects in hardware engineering and embedded development.
Developed schematics and mixed-signal PCB layouts in Altium Designer (2- & 4-layer, impedance-controlled differential pairs, high-voltage integration).
Configured, tested, and validated active load-sharing for six 5.5 kW bidirectional DC-DC converters (810 V ↔ 56 V, 33 kW total).
Managed instruction and progress tracking for 80 students while maintaining strong relationships with parents, teachers, and staff.
Led weekly staff meetings to review student performance and coordinate individualized learning plans.
Designed custom PCBs and developed a polyphonic guitar interface module using an STM32 to sample and process guitar signals from a hex-coil pickup for pitch tracking, outputting control voltages to the Eurorack ecosystem. Laid out and assembled 6-channel VCO, VCA, and mixer modules for prototype demonstration.
View ProjectDesigned an 8-bit CPU with control unit, decoder, ALU, and RAM-based instruction memory using Quartus Prime and VHDL. Implemented real-time debugging by displaying register values on a 7-segment display to visualize system state and instruction execution.
View ProjectDeveloped a PID-based throttle body controller with Ziegler–Nichols auto-tuning and Kalman filtering for ADC preprocessing. Integrated an analog fail-safe brake-plausibility device to ensure safe operation under real-world conditions.
View ProjectLed a 24-hour design sprint to build smart glasses aiding situational awareness for the deaf and hard-of-hearing. Used ESP32s for stereo-vision depth mapping and CNN-based AI object detection.
View Project