My name is Marcelo Victor, and I am a Machine Learning Engineer with a background in Physics and a Master’s degree in Computer Science from UFPI. My current research focuses on computer vision for cervical cancer diagnosis using cytological images.

I have extensive experience in developing deep learning solutions with frameworks such as TensorFlow, PyTorch, Keras, and Scikit-Learn. My work involves designing, training, and validating deep neural networks, with a particular focus on digital health. My goal is to apply AI to address meaningful biomedical challenges.

In addition, I have hands-on experience with Large Language Models (LLMs), the development of intelligent agents using LangChain, and microservices architecture. I build robust and scalable APIs using FastAPI.