Summary
Rhuan Barros is a Machine Learning Engineer with 11 years in IT and a Master’s in Data Science & ML from UFRGS, specializing in NLP applied to legal documents. He blends deep research experience—including a Springer conference publication—with hands-on delivery of production back-ends, pipeline engineering, and scalable model deployment using Python, FastAPI, Docker, Kubernetes and GitLab. At the Regional Labor Court he built RAG-driven document processing and LangChain agents integrating Llama2, Weaviate/Pinecone and OpenAI/Gemini to make legal search and automation practical for end users. His background in IT governance and large-scale database/contract management gives him uncommon strength in operationalizing AI within regulated, budget-constrained environments. He maintains an active GitHub with projects focused on generative AI and is keen to collaborate on applied AI initiatives that convert large legal text corpora into actionable insights.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Data Science, Artificial Intelligence, Natural Language Processing applied to Law, A, Master's degree, Data Science, Artificial Intelligence, Natural Language Processing applied to Law, A at Federal University of Rio Grande do Sul
Técnico em Informática, Técnico em Informática at Escola Técnica em Informática Alcides Maya de Porto Alegre
Ciência da Computação, Ciência da Computação at Universidade Federal do Rio Grande do Sul
Bachelor of Technology - BTech, Sistemas para Internet, Bachelor of Technology - BTech, Sistemas para Internet at Instituto Federal do Rio Grande do Sul
English, Portuguese