Data Scientist & ML Engineer with production experience in building end-to-end AI systems and a strong engineering background. I combine deep technical expertise in machine learning with real-world business acumen — having scaled an e-commerce business to ₽46M annual revenue and built commercial SaaS products from scratch.
- 🔭 Currently working on ML systems, algorithmic trading bots, and AI-powered SaaS services
- 🎓 Completed Yandex Practicum — Advanced Data Science Specialist (2026)
- 💡 21 completed ML projects across classification, regression, NLP, CV, time series, and Big Data
- 🏭 9+ years of engineering background in nuclear, oil & gas, and defense industries
- 📍 Nizhny Novgorod, Russia · Open to remote work
Machine Learning & Data Science
NLP & Computer Vision
Data Engineering & MLOps
Data Analysis
📈 we_trust_in_people — Algorithmic Trading Bot (MOEX)
Autonomous ML-powered trading system for Moscow Exchange via Tinkoff Invest API
- ML: Ensemble of LightGBM + ExtraTrees with Optuna hyperparameter optimization; 52 technical features with per-ticker feature selection; nightly retraining
- Finance logic: Stop-loss with dividend protection, FIFO position accounting, P&L calculation including commissions and taxes
- Stack:
Python·LightGBM·scikit-learn·Optuna·TA-Lib·aiogram 3·SQLAlchemy async·PostgreSQL·Redis·gRPC·Docker
📅 Zapiska — Commercial SaaS: Telegram Booking Bot
Production booking service for appointment-based businesses (masters & clients)
- Features: Service configuration, schedule management, client booking, subscription system, Tinkoff payment integration
- Architecture: Repository pattern, FSM (aiogram States), fully async, clean layer separation, Redis caching, APScheduler for deferred tasks
- Stack:
Python·FastAPI·aiogram 3·PostgreSQL·SQLAlchemy async·AsyncPG·Redis·APScheduler·Docker Compose·Alembic
🤖 wb-parser — AI Review Auto-Responder for Wildberries
Automated service that generates and posts AI-written replies to customer reviews
- AI: Dual LLM support — Yandex GPT and GigaChat; runs every 30 minutes via GitHub Actions (zero hosting cost)
- Built from experience: Developed based on personal e-commerce operations (200+ SKU portfolio, ₽46M peak revenue)
- Stack:
Python·Yandex GPT API·GigaChat API·Wildberries API·GitHub Actions CI/CD·aiogram·structlog
Full portfolio of academic and applied ML projects
| Domain | Projects |
|---|---|
| 🔵 Classification | 8 projects |
| 📊 Regression | 7 projects |
| 🧠 Deep Learning | 3 projects |
| 📝 NLP | 3 projects |
| 👁️ Computer Vision | 1 project |
| 📈 Time Series | 1 project |
| ⚡ Big Data (Apache Spark) | 1 project |
| 🗄️ SQL | 2 projects |
Algorithms & Methods:
Gradient Boosting (XGBoost / LightGBM / CatBoost) · Random Forest · CNN · BERT / Transformers · Word2Vec / TF-IDF · ResNet50 · Time Series (ARIMA, seasonal decomposition) · SHAP explainability · Optuna HPO
| Period | Role | Company |
|---|---|---|
| Nov 2024 – Present | Data Science Specialist | Freelance / Project work |
| Aug 2022 – Present | Analyst / E-commerce Entrepreneur | Wildberries Marketplace |
| Nov 2012 – Jul 2022 | Design Engineer | OKBM Afrikantov (Nuclear / Defense) |
Engineering background in designing PLC-based control systems for nuclear, oil & gas, and defense industries — brings systematic thinking and attention to reliability into every ML solution.
- 🏅 Advanced Data Science Specialist — Yandex Practicum, 2026
- 🎓 B.Sc. Electrical Engineering — Nizhny Novgorod State Technical University (NNSTU), 2012
Faculty of Automation & Electromechanics
I'm actively looking for opportunities as a Machine Learning Engineer or Data Scientist.
Open to remote positions. Ready for technical interviews and test assignments.
