Summary
Alina Kolesnikova is a developer and senior ML engineer with six years of experience specializing in Russian NLP, currently driving speech and phonetics projects at MTS AI. She has a strong research-to-production track record from DeepPavlov—working on model compression and DistilBERT variants—and builds practical pipelines for G2P, stress prediction, transliteration evaluation, and homograph disambiguation. Her background combines rigorous academic training (MIPT MS with honors) and applied work in data augmentation, CI/CD, performance testing, and mentoring. Notably, she pairs model training expertise with tooling and evaluation methodologies, enabling measurable improvements in phonetic transcription quality.
6 years of coding experience
2 years of employment as a software developer
Bachelor's degree (with honors), Applied Mathematics, 4.7 out of 5, Bachelor's degree (with honors), Applied Mathematics, 4.7 out of 5 at V.I.Vernadsky Crimean Federal University
Master's degree (with honors), Artificial Intelligence, 4.88 out of 5, Master's degree (with honors), Artificial Intelligence, 4.88 out of 5 at Moscow Institute of Physics and Technology (State University) (MIPT)