Pierre Antoine Del Guidice

Innovation in artificial intelligence, with a focus on developing solutions for companies in the aerospace sector. Autonomous on several projects, I combined technical skills and innovation. My contributions include: Relevant recommendations on feedback through machine learning. Detection of handwritten text using an OCR model. Pre-processing of images to improve model accuracy. Shape detection with a machine learning model. Hosting solutions on an AWS server, with API creation to communicate with the algorithms.

Participation in the development of a classification model to differentiate between bacterial and fungal forms of mycetoma, an infectious disease. Use of PyRadiomics to extract features from medical images, with technologies such as Random Forest for supervised classification, KMeans for segmentation, and MLP for deep learning. The project achieved over 90% accuracy in diagnosis and included the analysis of subspecies using unsupervised methods.

Development of a facial recognition system capable of identifying individuals wearing surgical masks. Use of the Eigenfaces method for principal component analysis (PCA) and projection onto eigenfaces for facial learning and recognition. Implementation in Python with calculation of Euclidean distance and application to images of masked individuals. This project deepened my skills in image processing and machine learning in a practical context.