Logan McDonald

Motivated and results-driven electrical engineer with a strong foundation in theory, analytical problem-solving, and a dedication to system optimization and reliability. Collaborative team player with excellent organizational skills, eager to contribute a fresh perspective, and a continuous improvement mindset to help achieve company objectives.

Autonomous Unmanned Ground Vehicle (UGV): Jan 2025 - Dec 2025

• Engineered sensor fusion for an autonomous UGV by integrating LIDAR, cameras, and ultrasonics using a Raspberry Pi 5 & ESP32, implementing a Kalman Filter to reduce LIDAR noise by ~40%.
• Developed ROS 2 navigation logic with a Behavior Tree, enabling real-time obstacle avoidance in unstructured environments.
• Optimized computer vision by deploying TensorFlow Lite, achieving a >7x frame rate increase for real-time object detection vs. baseline YOLO.
• Designed power management using LiFePO4 batteries, reducing weight by 50% and ensuring stable voltage during high-current motor operation.

Bluetooth Game Controller: Nov 2024 - Dec 2024

• Designed and developed a custom Bluetooth game controller using dual ESP-WROOM-32 modules.
• Configured the primary ESP-WROOM-32 to read input from buttons and analog joysticks, ensuring accurate ADC processing.
• Utilized Bluetooth Low Energy (BLE) to ensure low-latency communication and minimal power consumption.
• Established serial communication between ESP-WROOM-32 modules for efficient data exchange.

Flex Sensor Controlled Robotic Hand: Aug 2025 - Dec 2025

• Designed and prototyped a tendon-driven robotic hand system mirroring human finger motion using a flex-sensor glove and an Arduino Uno for real-time control.
• Engineered the sensor interface, implementing signal conditioning with voltage dividers and a moving-average filter in C++ to stabilize analog flex-sensor data for servo control.
• Developed and manufactured mechanical assembly using CAD and 3D printing (FDM), improving the original design by reinforcing servo mounts with epoxy putty for durability.
• Identified and analyzed key system limitations, including sensor threshold drift and power-rail fluctuations, conducting methodical experiments with various voltage-divider values and calibration routines.