ML Engineer / Data Scientist • Speech & LLM Research
Bachelor's Degree in Applied Mathematics & Computer Science @ HSE University
Currently open to ML/DL, LLM, and research engineering opportunities.
I’m interested in building machine learning systems that combine strong research ideas with practical impact — especially in speech, audio, NLP, and multimodal AI.
- Researching speech enhancement with Mixture-of-Experts architectures
- Conducted 20+ experiments on routing strategies, expert balancing, and noise-aware experts
- Achieved PESQ 3.64, outperforming a previous SOTA baseline
- Submitted a paper to Interspeech 2026
- Developed anti-fraud classification models on highly imbalanced data
- Automated monitoring and anomaly detection workflows
- Improved and scaled credit pipeline rules
🎧 RAVEN
Research project on speech enhancement with Mixture-of-Experts and time-frequency modeling.
Russian speech emotion recognition system based on Whisper embeddings and deep learning models.
Semantic retrieval pipeline and encoder training for RAG applications.
Deep learning project for automatic image caption generation.
PyTorch Transformers Scikit-learn CatBoost XGBoost
Python SQL PySpark PostgreSQL Hive
Docker MLflow Weights & Biases ClearML Git
ML in Speech/Audio Audio Processing NLP LLMs RAG