During my internship, I worked with Multiple Object Tracking (MOT), which is the task of detecting and monitoring many moving objects over time. One prominent application of MOT is in autonomous vehicles, where it is used to track pedestrians and other vehicles in the surrounding environment.I specifically implemented the Track-Oriented version of the Multiple Hypothesis Tracking (MHT) algorithm using C++. My key responsibilities during the internship included:. Conducting literature research on the topic through papers, courses and books,. Planning and developing the algorithm,. Writing my bachelor's thesis on this work.Throughout the internship, I learned and applied statistical methods for prediction and estimation, while also utilizing my knowledge of object-oriented programming, algorithms, and data structures that I developed during my computer science studies.

I worked as a back-end developer in two distinct projects.. Microsservices project using Graphql, Apollo Server and Typescript. . I also took part in a collaborative project with an american company where I used AWS Lambda and Python. In that context, I developed a function that daily computes the difference between the contents of two file repositories, updating one of them with the changes introduced in the other one.

Undergraduate research internship in genomic selection simulations in a plant science laboratory.The research consists in simulating plant breeding cycles. The software worked on uses the R language to simulate the plant reproduction and apply different statistical and machine learning models to predict traits based on genetics.My main activities were:. Optimizing the software using parallel computing, achieving up to 18x faster execution time using CPUs;. Adapting the software to a high performance computing environment (cluster);. Making the software more user-friendly, creating a menu with parameters that allow simulating different scenarios.

Worked on full-stack development and databases of brazilian educational data platforms.. Back-end: implemented indicators of educational data as an API in Node.js and Express.js. The API communicated with a database and allowed data filtering and grouping as well.. Database: Planned and created auxiliary tables to enhance efficiency in some database queries. Also worked on insertion, update and deletion of data using Python software. We used MonetDB as our database.. Front-end: Worked on data showcasing in the form of maps, graphs and tables using React.js.For a year, I also worked as a full-stack developer on the class assignment platform of the university. . Back-end: Worked on the API development in Loopback and Javascript. . Front-end: Worked on showcasing the data in tables using React.jsEvery software was developed in a Linux environment with high usage of Shell scripts. Code versioning was made using Gitlab.

Undergraduate research in the group TEORIA, of Federal University of Paraná. Research in the area of Graph Theory. More specifically, research in the optimization of the resolution of the graph square root problem.

Testing of the websites developed by the enterprise and elaboration of reports.

Assemblies and exploded view technical drawings with SolidWorks. Technical assistance and assembly of equipments that handle chemical products.