Backend Engineer with 6+ years of experience building and maintaining Python-based services and APIs in enterprise environments across banking, energy and retail. Focused on reliable backend systems, API design, distributed architectures and integrations across complex technical environments. Recently building independent projects around observability, edge infrastructure and LLM-powered backend services.
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:
