An academic study of ordinal image classification, patient-level validation and model limitations.
Computer visionMLEvaluation
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The study compares classical ML, deep learning and self-supervised methods. Its documentation distinguishes available implementations from completed experiments; it was not a Kaggle competition submission.
Comparing image detectors across datasets to study generalization and explainability.
PyTorchCLIPStreamlit
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An interactive application accompanies the model comparisons and explanations. This project documents practical work with computer vision and machine learning.
A digital menu and ordering application for restaurants, developed as a course project.
C#WPFSQL
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The application supports browsing a menu, customizing items and managing an order. Source code and team credits are available in the original repository.
Backend development in the IT Offshore Luxembourg division, working on internal tools with Python, FastAPI, Java, Spring Boot and SQL.
03 / A LITTLE CONTEXT
Beyond the projects.
Originally from Belo Horizonte, Minas Gerais, I now live in Campinas and study Computer Engineering at Unicamp. Alongside software and AI projects, my experience includes an exchange in Sweden, tutoring in linear algebra and coordinating a division of a student robotics team.
University of Campinas — UnicampComputer Engineering
Expected · second half of 2027
Linnaeus UniversityExchange studies in Computer Science · Sweden
2024–2025
Portuguese is my native language. I also speak English (Cambridge C1) and Spanish.