I am a PhD candidate in Civil Engineering, with an emphasis on Sustainable Construction Applied to Structural Engineering, and my current research focuses on the application of machine learning to predict the service life of reinforced concrete structures subjected to carbonation. I hold a master's degree in Structural Engineering from UFMG and a bachelor's degree in Civil Engineering from PUC Minas. My academic and professional journey is marked by the search for innovative and sustainable solutions for civil construction, with a particular interest in the durability of structures and the use of emerging technologies such as Artificial Intelligence. In my research, I apply machine learning techniques, such as Random Forest and Neural Networks, to optimize the prediction of service life, considering complex variables such as environmental conditions and concrete properties. The use of these tools enables greater accuracy in assessing service life, directly impacting the sustainability and economy of constructions. Additionally, I am the Coordinator of the Higher Technical Course in Building Construction at PUC Minas, where I also teach courses related to Structural Engineering and Materials. My areas of interest include Machine Learning, Durability of Structures, Artificial Intelligence, BIM (Building Information Modeling), and Computational Modeling, with the aim of contributing to the development of increasingly efficient and sustainable solutions for the construction.