Senior Backend Engineer with 6+ years building Python APIs in high-availability enterprise environments (banking, energy, retail). Focused on API design, distributed systems and reliability. Recently exploring LLM-powered backend services through independent projects.
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
- Job Offer Analyzer – Backend service for automated job-offer analysis using FastAPI, LLMs and external data sources. (Python, FastAPI, Docker)
- Edge Observability Pipeline – Lightweight distributed observability and alerting system designed for resource-constrained environments. (Python, rsyslog, systemd, Docker)
- TeacherTool – Backend service for processing and aggregating structured data using Python APIs and service-oriented design principles. (Python, FastAPI, Docker)
- HAContainerized – Containerized Home Assistant setup for Raspberry Pi with monitoring and automated alerts. (Docker, Home Assistant, Python)
Here’s a snapshot of my current GitHub activity:
