Python Backend Developer
- πΌ Experience: 1+ years in Backend development.
- π οΈ Current Focus: Scaling infrastructures with AWS and mastering FastAPI.
- βοΈ Personal: CS Foundations & Math β deeply interested in the mathematical logic behind algorithms and building a strong theoretical base for complex systems.
- π Education: Computer Science at Lviv Polytechnic National University (2024 - 2028).
- β‘ Availability: Open for Full-time roles.
| Category | Technologies |
|---|---|
| Languages | Python, SQL, Bash |
| Frameworks | Django, Wagtail admin, Django REST Framework (DRF), FastAPI |
| Databases | PostgreSQL, Redis, MongoDB |
| DevOps & Cloud | Docker, Docker Compose, AWS (S3, EC2), CI/CD (GitHub Actions), Nginx, Gunicorn |
| Automation | Pytest, Unittest |
| Tools | Git, OAuth2, Celery, Stripe API, Postman, Swagger/OpenAPI |
π Featured Project: E-commerce Platform
A full-featured online store built to master clean architecture and modularity in Django.
- β‘ Performance: Optimized PostgreSQL by implementing indexing and query refinement, achieving a 15% improvement.
- π Security: Implemented secure authentication with JWT.
- π οΈ Management: Developed a custom Headless CMS using Wagtail API, enabling dynamic page generation and a simplified administrative experience.
π Featured Project: APP-NEWS
A high-performance news platform featuring subscription-based monetization and dynamic content management.
- π³ Monetization: Integrated Stripe API, enabling premium access to news content and automated payment processing.
- π Security: Implementing JWT authentication, ensuring secure access control between backend and frontend.
- π Integration: Engineered interaction layer for frontend synchronization, allowing users to pin featured posts via a RESTful API.
(Oct 2024 β Present)
- API Design: Architected and deployed RESTful APIs using FastAPI and Django.
- Scalable Architecture: created backend systems to support asynchronous task processing with Celery and Redis, ensuring high availability and system resilience under heavy loads.
- Query Optimization: Achieved a 15% boost in request processing speed through advanced PostgreSQL indexing and the optimization of complex ORM query patterns.
- Infrastructure & DevOps: Orchestrated containerized environments using Docker Compose and automated database schema evolutions with Alembic.


