My name is Dani Antonini Bromberger, and I hold a degree in Mechanical Engineering from the Federal University of Santa Maria-RS (2021) and a Postgraduate (Master's) degree in Production Engineering from the Federal University of Santa Maria (2024) in the area of Production Management. During my internship at HEINEKEN Company, Brazil, I worked in the utilities and maintenance management team, focusing on data analysis and Programming and Planning Factors of the company's assets. I had the opportunity to participate in research projects as a scientific initiation scholarship holder, involving Materials Science and Solid Mechanics. Additionally, I presented papers at the Integrated Academic Week of the University. I have a strong interest in artificial intelligence, machine learning, deep learning, predictive maintenance, and computing applied to industry. My research area is focused on artificial intelligence approaches applied to industrial predictive maintenance for equipment failure prediction.