I am a third-year undergraduate student at Northeastern University pursuing a Combined Major in Computer Engineering and Computer Science with a Minor in Mathematics. Originally from São Paulo, Brazil, I chose to study in the United States to explore distinct opportunities and gain a global perspective. My passion lies in developing technologies that optimize services, improve efficiency, and create meaningful impact.
I am directing my studies toward embedded systems, robotics, and microprocessors within Computer Engineering, artificial intelligence in Computer Science, and machine learning with data analysis through my Mathematics minor. By integrating these disciplines, I aspire to advance the development of autonomous systems enabling many to become explorers
Aside from my professional endeavors, I have been skiing since childhood, speak Portuguese, English, and Spanish, and immerse myself in different cultures to understand their traditions firsthand. Evidence of this is my participation in the NUIN London program, where I deeply engaged with English culture.
Work experience
During my Software Engineering Internship at BTG Pactual, Latin America’s largest investment bank, I worked on backend web development for BTG Companies, a platform enabling SMEs to partner with BTG for financial operations like credit transactions. My main focus was optimizing PricingCurveV2, a RESTful API that processes CDI rate curves, a key fixed-income tool. Using C# and ASP.NET Core, I implemented filtering methods to improve data retrieval efficiency while adhering to MVC architecture for maintainability. To enhance scalability, I applied Composition and Aggregation to modularize filtering logic and injected reusable components via Dependency Injection. With CDI curve data stored in AWS, I used Entity Framework and MySQL for efficient data retrieval, structured API responses with DTOs and Mappers, and optimized communication using JSON and the Mediator pattern. I also improved performance by optimizing asynchronous execution (async/await) and ensured reliability through unit testing with xUnit, leading to a 50% faster API response time, benefiting seven teams.