Backend Developer specialized in Python and REST APIs, focused on building reliable, scalable and maintainable backend systems in production environments.
Experienced in API integrations, database performance, and backend reliability.
Main stack: Python (FastAPI) — backend API development
Databases: PostgreSQL, Redis, MySQL — data modeling & optimization
Infrastructure: AWS, Docker — deployment and containerization
- Designed and maintained APIs in high-availability production environments within enterprise banking systems
- Worked on integration layers between Python services and Java-based backend ecosystems
- Optimized data flows and database queries under production load constraints
- Distributed backend systems
- Event-driven architectures
- API integration in enterprise environments
- Data consistency and performance under load
- TeacherTool – Backend service for processing and aggregating structured data using Python APIs and service-oriented design principles. (Python, FastAPI)
- HAContainerized – Dockerized Home Assistant setup for Raspberry Pi with PM10 particle monitoring alerts (Docker, Home Assistant, Telegram API)
- TelegramBot – Asynchronous event-driven services built with Python, simulating notification pipelines and background job processing. (Python, Bash, Docker)
- RunnerBot – Weather bot for runners providing temperature and humidity data (Python, Docker)
Backend engineering portfolio focused on distributed systems, event-driven architecture, and API design patterns, built alongside 6+ years of experience in enterprise environments across banking, energy, and retail sectors. Experience in regulated, high-reliability systems with strict performance and availability constraints, collaborating with Java-based backend teams in heterogeneous architectures. Primary stack: Python-based backend services integrated into enterprise ecosystems.
Here’s a snapshot of my current GitHub activity:
