Corporate University of Sberbank
Data Science
Professional profile
Engineering AI systems from data to deployment.
I work across machine learning, industrial data, backend services and infrastructure to turn technical capability into reliable production systems.
Professional Summary
My work spans the full delivery path: collecting and structuring operational data, developing and validating models, exposing inference through services, and operating those services in real environments.
I focus on practical engineering decisions, observable systems and solutions that can be maintained after the first successful prototype.
Capabilities
Engineering Stack
Machine Learning & Data
- Python
- pandas
- NumPy
- scikit-learn
- LightGBM
- CatBoost
- XGBoost
- TensorFlow
- Feature Engineering
- Time Series / Windowing
- Model Validation
- Online / Shadow Inference
LLM & AI
- LLM
- RAG
- RAGFlow
- OpenAI / LLM APIs
- Local LLM
- Prompt Engineering
- OCR
- AI Agents
Backend & API
- Flask
- FastAPI
- Django
- REST API
- HTTP
- Bearer Authentication
- OData
- JSON
- YAML / PyYAML
Data & Storage
- SQL
- ClickHouse
- MySQL
- SQLite
- Elasticsearch
- Redis
DevOps & Infrastructure
- Docker
- Docker Compose
- Linux / Ubuntu
- systemd
- Nginx
- Gunicorn
- Certbot
- SSL/TLS
- SSH
- Git
- CI/CD
- NVIDIA Jetson
Industrial / OT
- PLC
- Mitsubishi MC/SLMP
- TCP
- UDP
- HMI
- PLC Batch Reads
- Industrial Data Collection
- Machine Monitoring
Monitoring & Analytics
- Grafana
- ClickHouse Analytics
Tools
- Bash
- Markdown
Education
Lomonosov Moscow State University
Master’s Degree in Public Administration
Russian Presidential Academy of National Economy and Public Administration
Bachelor’s Degree in Management