Summary
Ildikó Szabó is an AI Engineer and NLP specialist with a PhD in Linguistics and over a decade of hands-on experience in Python, data analytics, and computational linguistics. She has applied rigorous research methods to production problems—designing annotation pipelines, engineering prompts for LLMs, and evaluating subjective language tasks at companies like Grammarly and in mobility analytics. Comfortable moving between theory and practice, she has built sustainable analysis codebases, launched internal tools, and created hundreds of accessible visualizations and experiments involving multilingual participants. Her strengths lie in decomposing nebulous linguistic problems into actionable analytics and communicating findings clearly to diverse stakeholders. Based in Berlin, she combines academic depth with product-focused engineering and a track record of turning linguistic insight into measurable product improvements.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Linguistics, Doctor of Philosophy (PhD), Linguistics at New York University
Master of Arts (MA), Theoretical Linguistics, Master of Arts (MA), Theoretical Linguistics at Eötvös Loránd University
Hungarian, English, German