Welcome to my GitHub profile! I'm an AI Software Engineer specializing in Computer Vision with a passion for solving real-world problems using machine learning and deep learning. Here's a bit about me:
🎓 I’m currently pursuing a Master’s Degree in Artificial Intelligence Systems at the University of Trento, Italy.
🔭 I’m working on a research project focused on brain gliomas, using deep learning to analyze MRI images for detection, segmentation, and classification of brain tumors.
🌱 When I'm not coding, you'll likely find me in the mountains, maybe climbing, skiing, or carving out new trails on a run.
- Test Time Adaptation via Segmentations and Focused Feature Learning: development of TTA strategies to improve neural network robustness on domain shift tasks using MEMO.
- Aspect-Based Sentiment Analysis with BERT: focused on extracting aspect terms using BERT from the SemEval2014 Task 4 dataset.
- RNN Optimizations for NLP: enhanced RNNs using LSTM, dropout layers, and NT-AvSGD techniques for better NLP task performance.
- Robotic Arm Motion Planning with YOLO Recognition: developed a motion planning system for a UR5 robotic arm integrated with YOLO for object recognition and manipulation.
- Volleyball Match Analysis and 3D Reconstruction: focused on processing and analyzing a volleyball match captured from 10 different camera views. The project includes:
- Calibration: 3D reconstruction of camera positions relative to the field, divided into intrinsic and extrinsic camera calibration.
- Homography: a tool allowing users to click on a specific point on the court or any camera view, instantly displaying the corresponding point across another camera angle.
- 3D Ball Tracking: reconstructing a 3D model of the court and plotting the ball's trajectory using advanced tracking algorithms.
If you’d like to know more about my professional experience and skills, feel free to download my resume below:
- Email: stefanoobonetto@gmail.com
- LinkedIn: Stefano Bonetto