Summary
Vitaly Nikolaev is a Staff Research Scientist at Google DeepMind with 11 years of cross-disciplinary experience building frameworks to assess the quality of LLMs and LLM-powered products. He combines deep linguistic training (PhD and MS in Linguistics from Georgetown) with hands-on computational linguistics and product experience from roles across Google, where he led data collection, NLU grammar development, and evaluation pipelines. His background includes building language resources, transliteration and NER systems, and practical tooling (VBA, regex, SQL) to operationalize linguistic insights at scale. Vitaly’s work sits at the intersection of research and product: he has moved from senior linguist and analytical roles into research science and now focuses on rigorous, deployable evaluation methods for generative models. Based in New York, he brings multilingual expertise (Russian, German, Mandarin, Chinese studies) that informs more nuanced, cross-lingual quality metrics. Colleagues rely on him to translate linguistic theory into reproducible evaluation frameworks that improve real-world conversational AI.
11 years of coding experience
2 years of employment as a software developer
Candidate Germanic Languages Literatures and Linguistics, Candidate Germanic Languages Literatures and Linguistics at Khakassian State University named after N.F. Katanov
Certificate Chinese Language and Literature, Certificate Chinese Language and Literature at Tsinghua University
Specialist Foreign Language Teacher Education (English German Mandarin), Specialist Foreign Language Teacher Education (English German Mandarin) at Хакасский Государственный Университет (ХГУ) им. Н.Ф. Катанова / Khakassian State University named after N.F. Katanov
Doctor of Philosophy (PhD) Linguistics, Doctor of Philosophy (PhD) Linguistics at Georgetown University
Master of Arts (M.A.) Linguistics, Master of Arts (M.A.) Linguistics at University at Buffalo
English, Russian, German, Chinese, French