Codruta Girlea is a Staff Software Engineer in the Bay Area with 16 years of experience bridging research-grade AI and production engineering, currently shaping dialogue and intent modeling at Lyft. She combines a PhD-level background in knowledge representation, computational pragmatics, and formal methods with hands-on work in NLP and probabilistic-logical reasoning to model beliefs, intentionality, and belief change in conversation. Her career spans academic research on deceitful and spatial reasoning, NLP internships building grounded scene graphs and question classifiers, and long-term engineering impact at Lyft. Known for blending symbolic formalisms with statistical methods, she focuses on flexible, domain-adaptable representations that enable deep semantic understanding rather than purely surface-level NLP. Based in San Carlos, she brings rare expertise in modal and spatial logics to practical dialogue systems engineering.
16 years of coding experience
Master of Science (M.S.), Informatics, Master of Science (M.S.), Informatics at Scoala Normala Superioara Bucharest
University of Illinois Urbana-Champaign
Engineer's degree, Computer Science, Engineer's degree, Computer Science at University of Bucharest
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