My career started in 2013, when I decided to study and understand computers and how we can program them. It all started when I was approved and allowed to study Systems Analysis (undergraduate) at the Federal Institute of Rio Grande do Sul (IFRS). During this period, I had the opportunity to expand my theory by working as an intern for several great companies, such as Stefanini, Dell, and CWI. Finally, at the end of my undergraduate course, I got exposed to Artificial Intelligence and did my final project about how games can be a great environment to create experiments with artificial intelligence algorithms.

In 2015 I started my Master's in Computer Science at the Pontifical Catholic University of Rio Grande do Sul (PUCRS). Influenced by Artificial Intelligence, I chose the Machine and Deep Learning fields. I became a full-grant student in partnership with Hewlett Packard (HP Brazil) to join their project about identifying actions and goals in video sequences. In this project, I had the chance to develop my skills using the Python program language and several deep learning models for classification and action recognition. During this period, I received the best student paper award at IEEE Joint Conference on Neural Networks (IJCNN) for a work that uses action recognition to support visually impaired people. Two years later, In 2017, I received a Master's degree in Computer Science for a thesis involving the usage of small datasets with deep learning models. In addition, I was rewarded with the second-best Master's thesis in Artificial Intelligence by CTDIAC at the Brazilian Conference on Intelligent Systems.

In 2018 at PUCRS, I started my Ph.D. focusing on the research on self-supervised imitation learning using deep neural networks and agents theory. In the second year of my Ph.D. I was approved in the CAPES-PrInt program to become an exchange student in partnership with the University of Aberdeen (UoA) in Aberdeen, Scotland. In addition, I joined the industry as a Machine Learning Engineer acting in the computer vision field and later as a Data Scientist for Sicredi Bank, where I work today, using Reinforcement and Machine Learning to create and maintain recommendation systems.

For a complete curriculum, check out my LinkedIn.

HAPRec: Hybrid Activity and Plan Recognizer
IJCNN 2020: Augmented Behavioral Cloning from Observation