Machine Learning Engineer at JetBrains, contributing to the pretraining of Mellum — a code language model. Working on LLM alignment, μ-parametrization, and data pipeline engineering.
Pursuing dual MSc degrees: Data Science at Constructor University (full JetBrains scholarship, thesis in collaboration with Oxford University on LLM quantization for analog-digital hardware) and Artificial Intelligence at ITMO University.
Research interests span LLMs, VLMs, diffusion models, and NLP — with publications at AI Journey and award-winning presentations at Lomonosov Conference. Winner of 15+ hackathons and national AI competitions.
JetBrains
Mad Devs
DeepPavlov
AIRI
Constructor University
Bremen, Germany
Data Science
Advanced Software Technology (with JetBrains)
Full scholarship · GPA: 1.11/1.0
Thesis: LLM quantization for analog-digital hardware (collab with Oxford)
2024 — 2026
ITMO University
Saint Petersburg, Russia
Artificial Intelligence
GPA: 4.9/5.0
Thesis: Joint Distillation and Contrastive Learning for Embeddings in Dialogue Systems
2024 — 2026
NUST MISIS
Moscow, Russia
Applied Mathematics
Engineering Cybernetics
GPA: 5.0/5.0
Thesis: Intelligent system for estimating robustness of time series forecasting models
2020 — 2024
Winner — "I am a Professional" in AI
All-Russian contest for Bachelors, 2024
Top-2 — ITMO Olympiad in AI
All-Russian Olympiad, 2024
AI Journey 2025 — Poster Presentation
JDCEMB: Joint Distillation and Contrastive Learning
Best Presentation — Lomonosov 2024
XXXI International Conference of Students and Young Scientists
Digital Breakthrough — Skoltech
International Hackathon, Top-3 out of 15 teams, 2023
15+ Hackathon Wins
Including INNOGLOBALHACK, TenderHack, IT Purple Hack, Biometrics, and more
Interested in collaboration, research opportunities, or just want to say hi? Feel free to reach out.
