About me
Howdy! I'm Miguel Canales, an Electrical Engineering student at Texas A&M University. As an engineer, my biggest asset is my eagerness to learn and my flexibility in tackling complex challenges. My background spans from embedded systems and wireless communication internships to leading rapid-prototyping teams at hackathons. I thrive in collaborative environments and bring a strong foundation in leadership, entrepreneurship, and peer tutoring to everything I build. I am excited to apply my skills to new domains and am currently seeking internship opportunities in automotive tech, IoT, or any related field where I can make an immediate impact.
Projects
*each project page contains a quick-read format; if you want more information simply click on the paragraph in the project page"
Skills: C++ (PlatformIO), Fusion 360, Vacuum Thermoforming, Rapid Prototyping
Hardware: Seeed XIAO ESP32-S3, ST7789 TFT LCD, TTP223 Touch Sensor, MPU-6050 IMU
Overview: An interactive, Tamagotchi-inspired desktop robot featuring dynamic procedural facial rendering and physical touch interactions.
Skills: Mesh Networking, Computer Vision (YOLO11), Python, Flask, Custom Protocols
Hardware: ESP32-CAM Nodes, Central ESP Receiver, Edge Computing Server
Overview: A cost-effective, hub-and-spoke camera network that uses edge AI to accurately track vehicle capacity and update a live dashboard.
Skills: AI Bias Mitigation, Computer Vision, Edge Computing, CAD Design
Hardware: ESP32-CAM, Servo Motors, Custom 3D-Printed Turret Mount
Overview: An automated tracking turret that detects hat-wearers and politely enforces campus traditions using a custom-trained object detection model.
Core Skills: OpenCV (Color Filtering), Tracking Algorithms, Fusion 360, C++
Key Hardware: Arduino Uno, 2-Axis Servo Gimbal, 3D-Printed Chassis
Overview: A rapid-prototype 2-axis gimbal that identifies and tracks simulated wildfires using real-time color masking and dynamic bounding algorithms.