Matheus Gritz Email & Phone Number

Barueri, São Paulo, Brazil

Dock is a leading company in modern financial technology infrastructure in Latin America. With a unique and comprehensive platform, we offer solutions for Cards and Credit, Banking, Acquisition, and Fraud Prevention.Currently, I am part of a dynamic team focused on designing and maintaining a robust payment authorization gateway. Leveraging my proficiency in Java and SpringBoot, I contribute to the development of innovative features and projects within the system. My role involves utilizing RabbitMQ for efficient asynchronous communication, overseeing Kafka for log management, and ensuring continuous database operations using SQL Server. Additionally, I actively participate in the continuous integration of new features, maintaining the overall stability and performance of the gateway.

Barueri, São Paulo, Brazil

Dock is a leading company in modern financial technology infrastructure in Latin America. With a unique and comprehensive platform, we offer solutions for Cards and Credit, Banking, Acquisition, and Fraud Prevention.Currently, I am part of a dynamic team focused on designing and maintaining a robust payment authorization gateway. Leveraging my proficiency in Java and SpringBoot, I contribute to the development of innovative features and projects within the system. My role involves utilizing RabbitMQ for efficient asynchronous communication, overseeing Kafka for log management, and ensuring continuous database operations using SQL Server. Additionally, I actively participate in the continuous integration of new features, maintaining the overall stability and performance of the gateway.

Petrópolis E Região, Brasil

The LNCC engages in research, development, and innovation across various knowledge domains, employing computational modeling to process studied phenomena with high efficiency. Scientific computing serves as the catalyst for streamlining research, cutting down analysis time, and enhancing result precision. Moreover, it tackles intricate phenomena that conventional computers cannot study at the same speed and level of quality.I was in charge of creating an autonomous system that forecasts energy consumption and computational performance. This involved utilizing Python, Scikit-learn, and pandas, alongside the collection of performance data using tools like linux_perf and likwid.

Petrópolis, Rio De Janeiro

Worked in the development of projects using Machine Learning to predict computational performance and energy efficiency in HPC environments.

Superior Em Tecnologia Da Informação E Comunicação, Computer Science

Technologist course focused on training professionals for the area of programming and development.

Técnico Em Informática E Comunicação, Tecnologia Da Informação