At GMAP my area of research is stream processing. Specifically, I research algorithms to adapt the behavior of GPU-accelerated stream processing applications at runtime so that they comply with service level objectives (SLO). Through this research I enhanced my experience with C++ and GPU-related libraries such as CUDA, OpenCL, and others.Most of my experience with streaming is based on stream processing systems for C++ coming from research, such as FastFlow and Spar.

In parallel with my masters research on high-performance computing, at LIS I worked with projects involving the fields of embedded computing, machine learning, computer vision, and accessibility. In embedded computing, the project's goal is to provide documentation and tests for the HP Remote System Controller (RSC) device. I am currently working in this project. In this project, I acquired experience with the Redfish specification, programming for the RaspberryPI, and developing a custom automation testing tool.In accessibility, I participated in a project that used machine learning to retrieve information from digital image documents. The goal was to help visually disabled people to understand charts and tables originating mainly from academic papers. My focus was on the detection of table position and table cells. I gained experience with using Python frameworks such as PyTorch and MMDetection.In computer vision, the project was on improving the quality of HP Smart's document digitization through machine learning. In this project, I mainly worked on generating annotated synthetic documents for augmenting our training dataset. I acquired experience with OpenCV and the parsing and generation of PDF documents.

At LARCC my research and development centers on distributed computing. For my undergraduate thesis at LARCC, I worked on porting CFD (Computational fluid dynamics) applications from Fortran to C++, and parallelizing applications using the MPI and HPX libraries (for cluster). At LARCC I also acquired some experience with teaching through its winter school event, which aims at providing college and high school students with a practical introduction to some topics in computing.

At AbaseI have worked as a software developer with emphasis in backend programming for a school management system called EducarWeb. I participated in the development of new system modules, such as an automatic timetable generator (a combinatorial optimization problem), and also helped maintain the existing modules including school administration, transportation and nutrition.I was part of a team that adopted agile processes (Scrum), which is the methodology I am more familiar with. On my day to day, my development tasks included data integration and migration between systems, automated testing (TDD), creation of REST and GraphQL APIs, design and development of shared libraries, as well as the use of automation tools such as PowerShell. I have mostly worked with the Microsoft .NET platform (.NET Framework and Core) using C#, but I also developed and maintained smaller systems written in Java, Node.js and Python.As for databases, I have primarily worked with PostgreSQL, while also gaining some exposure to MongoDB. In terms of front-end development, I have gained some experience working with ExtJS and React.