Emanuel Huber

Emanuel Huber is a Chief Technology Officer at F2IT, with a robust background in AI and machine learning. They previously served as a Data Scientist at CESAR, where they developed state-of-the-art solutions, including a Multigenre Part-of-Speech Tagger for Brazilian Portuguese and a computer vision system for assisting individuals with visual impairments. Emanuel holds a Master’s degree in Artificial Intelligence from Universidade de São Paulo, where they focused on Natural Language Processing, and a Bachelor's degree in Computer Engineering from Facens. Their expertise encompasses programming in Python and utilizing essential libraries for machine learning and computer vision.