Summary
Olga Zamaraeva is a computational linguist and researcher with 11 years of experience bridging academic NLP and practical language technology. She holds a PhD from the University of Washington and has led and contributed to multiple postdoctoral projects at Universidade da Coruña, including work as Principal Investigator on ERC- and Marie Skłodowska-Curie-funded research. Her current work investigates systematic differences between LLM-generated and human-authored text and develops AI-assisted methods for literary translation and robust evaluation, with a focus on Green AI practices. Earlier in her career she combined software testing for language tools with teaching and mentoring, giving her a rare mix of hands-on engineering, evaluation rigor, and pedagogical experience. Based in Spain, she is known for applying principled, reproducible methods to high-impact problems in translation and text-generation assessment.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Linguistics, Doctor of Philosophy (PhD), Computational Linguistics at University of Washington
Transfer Associate, Computer Science, Transfer Associate, Computer Science at Bellevue College