Python Backend Developer — Django · FastAPI · PostgreSQL
I build production-oriented backend services, APIs, and integrations. I am adaptable across development, deployment optimization, and production operations, with a focus on maintainability and reliability.
| Project | Description | Stack |
|---|---|---|
| Argus | Commissioned internal production service for processing marketplace emails, managing leads, Telegram operations, health checks, and automated VPS workflows. | Django, PostgreSQL, Gmail API, Telegram Bot API, Nginx, systemd, Pytest |
| DocsFlow | Secure document-management service with asynchronous processing, local OCR, structured AI extraction, RAG search, calendar events, reminders, audit logs, and encrypted backups. | FastAPI, SQLAlchemy, PostgreSQL, pgvector, Celery, Redis, OpenAI, Docker |
| InboxSignal | Message-triage backend that converts Gmail and Telegram streams into prioritized events, alerts, and scheduled digests. | Django, PostgreSQL, Redis, Celery, Gmail API, Telegram Bot API, OpenAI |
| DealerFinder | Cache-first car-dealer search service with external API quotas, throttling, distributed locks, and asynchronous AI enrichment. | Django, PostgreSQL, Redis, Celery, Google Places API, Docker |
| Portfolio SPA | Full-stack portfolio platform with project management, REST API, React frontend, contact workflow, CI, and production deployment. | Django REST Framework, React, TypeScript, PostgreSQL, Docker |
| Azure IaC Demo | Infrastructure-as-Code deployment of an OIDC-protected application stack on Azure. | Terraform, Ansible, Docker, Keycloak, OAuth2 Proxy, Nginx |
- Backend: Python, Django, Django REST Framework, FastAPI
- Data: PostgreSQL, SQLAlchemy, Alembic, Redis, pgvector
- Async and integrations: Celery, Gmail API, Google APIs, Telegram Bot API, OpenAI API
- Infrastructure: Docker Compose, Nginx, Gunicorn, systemd, Terraform, Ansible
- Quality: Pytest, Ruff, GitHub Actions, CodeQL, Codecov
- Frontend: Django Templates, Bootstrap, basic React and TypeScript