Summary
Clarissa Xavier is a PhD computer scientist and computational linguist with 11+ years building NLP and knowledge-representation solutions for multicultural teams across industry and academia. She has led technical teams and R&D projects—from ASR and intent classification to ontology engineering and LLM optimization—translating research into production systems at companies like Meedan, Lojas Renner and SiDi. Currently combining teaching and research as a postdoctoral AI researcher and university instructor, she designs courses and mentors students in extraction of unstructured data and applied NLP. Her background spans hands-on engineering (Python, TensorFlow, ElasticSearch) and system architecture, and she frequently bridges academic rigor with pragmatic product delivery. Notably, she has contributed to multilingual semantic graph work and production-grade translation/memory systems that support independent journalism workflows.
11 years of coding experience
2 years of employment as a software developer
Pós-doutorado Ciência da Computação, Pós-doutorado Ciência da Computação at Federal University of Rio Grande do Sul
Ensino Técnico Processamento de Dados, Ensino Técnico Processamento de Dados at Colégio Técnico Industrial
Pós-graduação Stricto Sensu - Doutorado Ciência da Computação, Pós-graduação Stricto Sensu - Doutorado Ciência da Computação at Pontifícia Universidade Católica do Rio Grande do Sul
English, Spanish, French, Portuguese