I’m an Industrial Engineering student at UFMG, one of the top universities in Latin America 🌎. I chose this field because I’m deeply interested in the human side of engineering: processes, product design, sustainability, and ethics in technology. Currently, I’m focused on undergraduate research in Machine Learning and Natural Language Processing (NLP), an area that constantly challenges me and keeps me motivated 🤖✨.
I also love programming and problem-solving 🧠. I’m actively involved in competitive programming, where I enjoy solving challenges, learning new concepts, and pushing my limits. For me, coding is not just work, it’s something I genuinely enjoy doing every day 😊💖.
Conducting undergraduate research in Social Computing, focusing on online misogyny detection and classification.
Working with real-world datasets, exploratory data analysis, and model evaluation.
Python for Machine Learning and Data Analysis, C# for backend development and DSA, and C++ for competitive programming.
Focused on ethical AI, system design, and building solutions with real-world impact.
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Published Paper
A Misoginia no YouTube Brasileiro: Um Estudo de Caso sobre o Conteúdo Produzido pela Comunidade Red Pill
Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (WebMedia 2025) · Nov 2025
🔗 Read the article -
Curriculum Lattes (CNPq)
🔗 View my academic CV
My mantra in the tech journey is inspired by Steve Jobs' famous quote: "Stay hungry, stay foolish." It's the hunger to learn, the audacity to try new things, and the passion to positively impact people's lives through coding that drive me to overcome challenges and keep innovating. In this ever-evolving universe, curiosity and the willingness to take risks are our greatest allies to achieve the extraordinary.
Engagement Level
GitHub Streak
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