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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
A Reflection on Data Representativeness in Datasets
Published:
Perhaps the biggest difference between studying and working with Artificial Intelligence lies in the data itself. In courses and small-scale projects, datasets are perfect. At most, we perform some exploratory analysis, convert strings to floats, and clean up missing values or outliers. In real life, however, the story has proven to be completely different. Developing a model that performs well and is actually useful for society when dealing with scarce or low-quality data is extremely complicated. T
portfolio
TCEs: Accountability Data Pipeline
A data engineering project supporting a PhD thesis in Political Science (USP). It involves building ETL pipelines to clean and structure 28 years of federal accountability data (1996–2024) from the TCU and CGU portals.
Comma: Smart AI Tech Curation
A serverless Python bot that delivers a daily, high-quality AI and tech article summary directly to Telegram. It uses LLMs and the Chain-of-Density strategy to ensure you stay updated with deep insights in a simple, direct way.
Campus Multiplataforma: A Hub for University Journalism
A cross-platform mobile application developed to unify the journalistic production of the University of Brasília. It bridges the gap between traditional newsrooms and the digital migratory behavior of modern audiences. 
publications
Multispectral UAV Fusion for Native Tree Species Recognition in the Cerrado
Published in , 2026
This paper is currently under review for CVBMC 2026
talks
How to Utilize Artificial Intelligence to Create Efficient Solutions
Published:
In October 2025, I had the honor of speaking at Curicaca Festival, an event promoted by Concentro and the Brazilian Industrial Development Agency (ABDI), recognized as the largest youth entrepreneurship summit in the Brazilian Midwest. Under the theme “How to Utilize Artificial Intelligence to Create Efficient Solutions,” I addressed how AI can be applied to optimize internal processes, support strategic decision-making, and enhance the quality of client delivery.
Knowledge Discovery in Databases (KDD): The Data Science Lifecycle
Published:
In May 2026, I led an online workshop for University of Brasília researchers and students focused on the KDD (Knowledge Discovery in Databases) process. As someone working at the intersection of Software Engineering (at the Federal Court of Accounts - TCU) and AI Research (at Petrobras/LAMFO), my goal was to show how we can move beyond simple data collection to identify valid, novel, and potentially useful patterns in complex datasets.
teaching
Teaching Assistant - Algorithms & Computer Programming
Undergraduate course, University of Brasília, Computer Science Department, 2023
Teacher assistant for the undergraduate level course “Algorithms & Computer Programming” of University of Brasília with Prof. Guilherme Ramos
Teaching Assistant - Algorithms & Computer Programming
Undergraduate course, University of Brasília, Computer Science Department, 2024
Teacher assistant for the undergraduate level course “Algorithms & Computer Programming” of University of Brasília with Prof. Guilherme Ramos
Teaching Assistant - Software Architecture & Design
Master's level course, University of Brasília, Computer Science Department, 2026
Teacher assistant for the professional master’s level course “Software Architecture & Design” of University of Brasília with Prof. Paulo Merson