Summary
Marilia Da Silva is a senior data scientist with 10 years of experience blending machine learning, NLP and Python backend development to build production-ready solutions for oil & gas and SaaS products. At CESAR she leads data and software engineering efforts, driving generative AI, RAG/GraphRAG retrieval systems and end-to-end model deployment while coordinating design, QA and roadmaps. Her background spans regression, classification, computer vision, time series, AB testing and data storytelling, complemented by hands-on API and test automation skills from prior backend roles. She holds postgraduate degrees in AI/ML and NLP and applies an MVP-, design- and TDD-driven approach to validate business hypotheses through user experiments. Beyond engineering, she creates educational content (YouTube) and public code artifacts across multiple git platforms, signaling a commitment to knowledge sharing and reproducible work.
10 years of coding experience
Bacharelado em Sistemas de Informação, Computer Software Technology/Technician, Campus Araquari, Bacharelado em Sistemas de Informação, Computer Software Technology/Technician, Campus Araquari at Instituto Federal Catarinense
Pós-graduação em Processamento de Linguagem Natural, Processamento de Linguagem Natural, Pós-graduação em Processamento de Linguagem Natural, Processamento de Linguagem Natural at Universidade Federal de Goiás (UFG)
Tecnologo em Gestão Ambiental, Gestão Ambiental, Tecnologo em Gestão Ambiental, Gestão Ambiental at Faculdade Evangélica do Paraná
The Pontifical Catholic University of Minas Gerais