Summary
Clarissa Xavier is a seasoned computer scientist and educator in Rio Grande do Sul, Brazil, holding a PhD in computer science with a focus on natural language processing, knowledge representation, information extraction, and data analytics. Over a decade, she has led NLP and ML initiatives across academia and industry, including technical leadership of NLP at SiDi and ontology-driven data solutions at Lojas Renner. She is currently a Substitute Professor at IFRS and a guest researcher with the FORMAS Research Group on Semantic Analysis at UFBA, advancing AI teaching and research. Her career spans roles at Meedan building multilingual NLP tools and at several Brazilian institutions where she taught data mining, network analytics, and data storytelling, bridging theory and production. She has collaborated with multicultural teams worldwide on AI tooling and urban-data projects, including social networks and traffic polarity classification in Portuguese. Based in Brazil, she combines rigorous academic training (PhD, postdoc) with hands-on software engineering and leadership across diverse languages and data modalities.
11 years of coding experience
8 years of employment as a software developer
Postdoctoral, Computer Science, Postdoctoral, Computer Science at Federal University of Rio Grande do Sul
Technical, Informatics, Technical, Informatics at Colégio Técnico Industrial
Specialization, Computer Science, Specialization, Computer Science at Universidade Federal do Rio Grande do Sul
Bachelorship, Computer Science, Bachelorship, Computer Science at Pontifícia Universidade Católica do Rio Grande do Sul
English, Spanish, French, Portuguese