Summary
Felipe Ferreira is a Machine Learning Engineer with 11 years of experience building production-ready ML and data systems across enterprise and startup environments in Brazil. He has a strong foundation in time series, optimization, experiment design and NLP, and has repeatedly moved prototypes into production using AWS SageMaker, Docker, and Spark. Notable projects include scaling semantic grouping to 20 million documents, creating Graph-RAG retrievers with Neo4J, and integrating LLMs with custom external memory for private-data chat. Trained in electrical engineering and holding a Data Science master's, he blends rigorous engineering discipline from industrial automation with modern ML practices. Colleagues describe him as creative, curious and pragmatic—comfortable turning complex unstructured text into structured knowledge graphs and actionable products.
11 years of coding experience
14 years of employment as a software developer
Master’s Degree Data Science, Master’s Degree Data Science at University of San Francisco
Pontifical Catholic University of Rio de Janeiro
Portuguese, English, Italian, Spanish, Portuguese, Spanish