Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 0.5

As a trainee Machine Learning Engineer, I developed a Visual Localization project using 2D-3D transformations, OpenCV, Open3d, and CNN VGG-16. It's also well done and works fast in real-time.
I worked on an educational project during the CV/AI camp. It was a teamwork educational computer vision project for table tennis ball detection and tracking during tennis tournaments. YOLO v5 was used for transfer learning, OpenCV library, and computer vision techniques for tennis ball detection and tracking. My team developed the best project among all in the educational camp. I've reached an accuracy of 88% which is very good for the quality of input data.
Trainee Machine Learning Engineer:
Development of Visual Localization project using 2D-3D transformations, OpenCV, Open3d, CNN VGG-16. 
AI/CV Abto Software camp student:
Development of Table tennis ball detection project using computer vision techniques, OpenCV library, YOLO v5 model for ball detection.