Electrical Engineering student with hands-on experience in design, robotics, and analytical problem-solving. Proven ability to deliver high-quality work independently and as part of a team. Strong organizational skills complemented by years of experience in retail and warehouse environments. Excellent communication and multitasking capabilities enhance project contributions.
Autonomous Robotics Navigation System, IEEE Robotics Team, Greensboro, NC, 01/01/24, Present, Integrated AprilTags, gyroscope, and accelerometer sensors with Raspberry Pi for autonomous navigation, Designed and tested a magnetic mineral sorting mechanism using CAD and 3D printing, Implemented UART communication between Raspberry Pi and Arduino Nano BLE, Filtered sensor data to minimize drift and optimize robot performance
North Carolina A&T Academic Scholarship