Research on financial portfolio optimization using machine learning strategies, particularly reinforcement learning.

As responsible for the 2D autonomous soccer simulation team, I've worked in the development of new intelligent algorithms in multiagent systems, in the research on Machine Learning (in particular, reinforcement learning and deep learning) and in the creation of automated test scripts. With this team, I was able to win two national competitions and participate on three international ones.As a developer of the line follower robot, I've worked with proportional–integral–derivative… Show more As responsible for the 2D autonomous soccer simulation team, I've worked in the development of new intelligent algorithms in multiagent systems, in the research on Machine Learning (in particular, reinforcement learning and deep learning) and in the creation of automated test scripts. With this team, I was able to win two national competitions and participate on three international ones.As a developer of the line follower robot, I've worked with proportional–integral–derivative controllers (PID) applied to embedded systems, being able to achieve fourth place in national competitions. Show less

I was responsible for the analysis and development of multiple customer segmentations based on their registration and behavioral data to identify possible fraudulent behaviors. The new segmentations were more efficient than the old methods used by the bank.

I developed a data quality system that allows the data scientists, engineers and analysts to have a scalable, customizable and fast way to guarantee and verify the quality of tables of data.

I worked on the development of the enterprise's back end services and refactored the authentication system. This refactoring brought better stability and security to the authentications and enabled the implementation of new technologies.