Summary
Dionysia Saratsli is a Prompt Engineer and PhD-trained linguist with eight years of experience applying language science to production-scale LLMs and conversational AI, most recently improving query understanding and customer experience at Amazon and now driving prompt engineering at wingmaite. She blends rigorous experimental design and statistical analysis from her doctoral work with practical NLP engineering—designing annotation schemes, evaluation frameworks, and rule-based components that make dialogue systems more semantically accurate. Comfortable leading cross-functional teams, she has orchestrated vendor annotation pipelines and failure-space analyses to move ambiguous research insights into measurable product gains. Her background in cognitive and developmental language research gives her a rare edge in modeling pragmatic and discourse-level phenomena for real users. Based in Berlin, she brings a curiosity-driven, problem-solving mindset that bridges academic rigor and applied AI.
8 years of coding experience
10 years of employment as a software developer
Bachelor's degree English Language and Literature, Bachelor's degree English Language and Literature at Aristotle University of Thessaloniki
Doctor of Philosophy (Ph.D.) Linguistics and Cognitive Science, Doctor of Philosophy (Ph.D.) Linguistics and Cognitive Science at University of Delaware
Master's degree Theoretical and Applied Linguistics, Master's degree Theoretical and Applied Linguistics at Aristotle University of Thessaloniki (AUTH)
English Department (Literature and Linguistics), English Department (Literature and Linguistics) at University of Stirling