At CI&T, I help build AI-powered development accelerators using LLMs, agentic workflows, and automated checks to reduce repetitive work in software modernization. I also work on modernizing legacy code, SQL queries, and databases for cloud environments on GCP.
At UFES, I researched industrial fault diagnosis from vibration signals using machine learning and deep learning. On my multidomain fault diagnosis project, I developed a Python and PyTorch pipeline to evaluate transfer-learning models across bearing datasets.
