ML/AI Engineer · Research Intern @ AIRI
Reliable ML · Uncertainty Quantification · RAG
I build research-driven ML systems with a focus on reliable prediction, uncertainty, and evidence-grounded retrieval.
AIRI · Incoming MSc @ Skoltech · BSc, Mathematical Statistics @ MSU
- AIRI — Research internship in medical QA and RAG, with work on retrieval, clinical knowledge bases, reliability, and uncertainty.
- Skoltech — Incoming MSc student in Artificial Intelligence & Machine Learning, starting September 2026.
A source-planned medical RAG prototype for evidence verification and abstention when supporting evidence is insufficient.
Python · RAG · scikit-learn · Streamlit · Docker
Evaluated in a deterministic synthetic setup with automated checks and a reproducible offline workflow.
A research implementation of regularized Bayesian Model Averaging.
Python · NumPy · SciPy · scikit-learn · probabilistic modeling
Explores regularized model weighting for probabilistic prediction under model uncertainty.
A pipeline for estimating the incremental effect of personalized recommendations on customer spending.
Python · CatBoost · scikit-learn · bootstrap validation · Docker
Uses a hurdle T-learner with reproducible training and local/Docker inference.
Reliable Machine Learning — Uncertainty quantification, calibration, and selective prediction.
Probabilistic ML — Bayesian inference, model averaging, and probabilistic modeling.
Reliable AI Systems — Retrieval, evidence grounding, and uncertainty-aware RAG.
ML & Research — Python · PyTorch · NumPy · SciPy · scikit-learn · CatBoost
Retrieval & LLM Systems — RAG · BM25 · dense & hybrid retrieval · embeddings · reranking
Backend & Infrastructure — FastAPI · PostgreSQL · Docker · Git · Linux
- BSc, Faculty of Computational Mathematics and Cybernetics — Mathematical Statistics, Lomonosov Moscow State University, 2026
- Incoming MSc in Artificial Intelligence & Machine Learning — Skoltech, 2026
- Bachelor research on probabilistic estimates in Bayesian Model Averaging
- 1st place — Sechenov University MedAI Hackathon