João Vitor Mascarenhas

João Vitor Mascarenhas has a diverse work experience in the field of machine learning and data science. João Vitor is currently working at Stilingue since July 2021, holding the position of Machine Learning Engineer | Data Scientist III. Prior to this, they have held several roles at Stilingue, including Machine Learning Engineer | Data Scientist II, Machine Learning Engineer | Data Engineer II, Machine Learning Engineer II, and Machine Learning Engineer I. João Vitor started their career at Stilingue as a Machine Learning Trainee in July 2017.

Before joining Stilingue, João worked as a Student Assistant at Berkeley Lab in 2016. During their time there, they focused on investigating the effectiveness of using Convolutional Neural Networks (CNN) for image classification and feature extraction in science applications. João Vitor also examined the quantization effects of deploying CNN onto neuromorphic chips, specifically IBM TrueNorth.

João's work experience also includes a role as a Junior Research Fellow at FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais. João Vitor'sresearch at FAPEMIG involved heuristic methods for the Gate Matrix Layout Problem, and the project was funded by the Minas Gerais State Research Funding Agency FAPEMIG.

Overall, João Vitor Mascarenhas has gained a strong background in machine learning, data science, and research through their various roles and experiences.

João Vitor Mascarenhas completed their Bachelor's degree in Computer Science from UFOP - Universidade Federal de Ouro Preto, from the year 2013 to 2017. Additionally, they pursued an additional Bachelor's degree in Computer Science from California State University-Sacramento, during the period of 2015 to 2016.