Summary
Samuel Caetano is a Senior Data Scientist based in São Paulo with eight years of experience applying machine learning, deep learning and text mining to real-world NLP problems. He has driven end-to-end projects across finance and research—building conversational LLM agents and contact center platforms at Banco Itaú, and KYC and payment-anticipation systems at Pagar.me—while bridging R&D and production. His background includes academic NLP research at USP on political bias detection and practical work on OCR and document classification at IBM, giving him a rare blend of rigorous evaluation and production-focused deployment. Comfortable with cloud-native MLOps (GCP, VertexAI, Kubeflow) and model evaluation best practices, he often acts as the SME translating business KPIs into scalable ML solutions. Samuel also teaches and mentors—having been a university TA and a Python instructor for non-STEM learners—so he communicates complex concepts clearly to technical and non-technical stakeholders. Off the clock he keeps a pragmatic, witty developer mindset captured by his GitHub quip: "It’s not a bug, it’s just an undocumented feature waiting to happen."
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Universidade Estadual Paulista Júlio de Mesquita Filho
Information of Technology Informática, Information of Technology Informática at ETEC de Hortolândia
Master of Science - MS Natural Language Processing, Master of Science - MS Natural Language Processing at USP - Universidade de São Paulo
Development of Android Applications Programação de Computadores - Aplicativos Específicos, Development of Android Applications Programação de Computadores - Aplicativos Específicos at ETEC Bento Quirino
Portuguese, English