Machine Learning Engineer and Artificial Intelligence Researcher. With a Bachelor's degree in Computational Chemistry from UFMG (Minas Gerais, Brazil), I have participated in several research projects aimed at developing technological AI applications in areas such as Rational Drug Design, Thermal Analysis, Toxicology, analysis of legal processes and contracts, semantic text classification, rapid clinical exams, among others. Proficient in Data Preprocessing and Exploratory Analysis, "classic" Machine Learning, statistical validation, Natural Language Processing (NLP), integration with large language models (LLM), embeddings, Retrieval-Augmented Generation (RAG), intelligent agents, fine-tuning, relational and vector databases, embeddings-based Machine Learning...

With over a decade of experience in software development, I have worked with numerous languages and frameworks and always prioritize choosing the most suitable option for the problem at hand. In the last year, Python and TypeScript were among my most used languages, with Next.js, NestJS, and Flask ranking high among frameworks. Extensive knowledge of architectural patterns, clean code, CI/CD, Docker, Cloud, DevOps, MLOps, etc.