Carlos Cordero

Collaborative professional applies material science, fluid dynamics and kinematics to design and develop mechanical systems. Familiar with CNC machining, rapid prototyping and other manufacturing processes. Skilled in troubleshooting and problem-solving.

- Arduino Infrared Speed Detector Project to test mechanical vehicles using IR sensors that will accurately detect the speed of a vehicle with a small tolerance of 2%. The project had a 96% probability of accurate speed with a sample size of 100 test.

- Deep learning for Computer Vision A pre-trained neural network and object classification, in which a computer detects and categorizes an object in an image based on its attributes. A single neural network is used by the detection system YOLO to process the entire image. I was able to use this network, and the image is divided into zones, and bounding boxes and likelihoods are computed for each area.

- Sample grip mechanism Project Leader/ Member Senior Design Project August 2022 The lead CAD designer; (Expert in computer-aided drafting and design, process improvement, software implementation, workflow design, project management.) -Manufacture technician for the project using CNC, mill, and lathe. -Researched materials for the grip mechanism based on their favorable properties (corrosion-resistance, thermal expansion, density, and cost) manufactured and assembled the initial prototype for testing the grip mechanism. - Created technical documents of project updates (Preliminary Design Report, Monthly and Weekly Status Reports) Presented progress to professors and business leaders during poster sessions.