I'm a Computer Information Systems student working at the intersection of Artificial Intelligence, digital accessibility, and public health. I build systems that detect invisible problems — the kind that affect real people but go unmeasured.

• 💼 Currently: Software Development Intern @ TRE-ES (Brazil's Regional Electoral Court), building and maintaining institutional systems with Java and agile methodologies (Scrum/Kanban).
• 🔬 Research: Leading the A Guardiã Digital Scientific Initiation project — an ML-based assistive system for real-time frustration detection in elderly mobile users.
• 🚀 Building: EcoAtlas (end-to-end data science · ESG · urban climate) and BackpackersMate (cross-platform mobile · React Native/SQLite).

ML-based assistive system for real-time frustration detection in elderly mobile users.

Integrates with Android Accessibility Services to passively capture touch event data (coordinates, latency, error rate) and applies SVM + Random Forest classifiers to identify UX failures — without requiring any input from the user.

Python Scikit-learn Android Accessibility API ETL Pipeline Power BI

Status: Research in progress · Supervised by Prof. Dr. Wesley Pereira da Silva @ FAESA · Target publication: 2027

End-to-end data science project investigating the statistical correlation between urban deforestation and temperature rise in Vitória, ES (2021–2024). Data from INMET and MapBiomas, analyzed with Python/SciPy (p-value: 0.0000 · Pearson r: 0.157), visualized in an interactive Power BI geospatial dashboard.

Python Pandas SciPy Seaborn Power BI DAX

Conceptual design and high-fidelity prototype of an AI-powered psychological triage system for adolescents. Uses NLP to classify risk levels and automate routing to the appropriate care path.

Figma NLP Object-Oriented Analysis Software Engineering

Cross-platform B2C mobile app centralizing logistics, itineraries and offline tools for backpackers. Built with React Native/TypeScript and local SQLite storage.

React Native TypeScript Expo SQLite