Embedded Vision & Motion-Control Platform
Raspberry Pi 5 microscopy system integrating IMX477 imaging, motorized motion, autofocus, trajectory planning, remote operation, and YOLO/OpenCV workflows.
Electrical Engineering senior building and debugging embedded, RF, computer-vision, and electromechanical systems. I focus on hardware/software integration, system testing, communications, and practical engineering problem-solving.
Each case study focuses on architecture, implementation, debugging, validation, and results.
Raspberry Pi 5 microscopy system integrating IMX477 imaging, motorized motion, autofocus, trajectory planning, remote operation, and YOLO/OpenCV workflows.
Embedded sensor-processing pipeline using Myo armbands, Teensy 4.1, Raspberry Pi 5, and Hailo-8L acceleration for low-latency gesture classification.
Filter and impedance-matching design in Keysight ADS, embedded LoRa communications, SDR-based signal analysis, and RF bench evaluation.
Modeled dynamic systems, designed PV/PIV/PI/lead controllers, and compared simulated behavior against measured hardware performance.
Python, C, C++, ARM assembly, Linux, Raspberry Pi, STM32, SAMD21, Teensy, Git/GitHub, SSH
Keysight ADS, RF filters, impedance matching, SDR, LoRa, BLE, UART, SPI, I²C, RF lab instrumentation
Hardware/software debugging, bench validation, oscilloscopes, function generators, DMMs, serial diagnostics, root-cause troubleshooting
OpenCV, YOLO, ONNX, sensors, cameras, motors, servos, motion control, MATLAB/Simulink, feedback systems
I’m an Electrical Engineering senior at Embry-Riddle Aeronautical University with hands-on experience building, integrating, and troubleshooting prototypes. My strongest work sits where electronics, embedded software, communications, sensors, controls, and test meet. I’m targeting entry-level roles in embedded systems, integration & test, RF/communications, systems engineering, robotics, and electrical engineering.
Resume, source code, and project documentation are available below.