• Migrated education domains into a scalable microservice architecture, refining service boundaries and decomposing complex business logic.
• Co-developed core LMS backend modules, including achievements, rewards, analytics, workshops, approvals, and access management.
• Built reporting and analytics features with advanced filtering, aggregations, and XLSX export capabilities
• Designed reliable cross-service integrations using HTTP APIs, NATS JetStream, Celery, and RabbitMQ, resolving critical consistency and synchronization issues in production.
• Improved platform maintainability and engineering efficiency through clean architecture patterns, Kubernetes/ArgoCD operational support, and test workflow optimization reducing setup time by 72% (95s > 27s).

• Built and deployed a production-ready Django REST API for a service catalog, implementing full CRUD workflows, JWT-based authentication with admin-restricted write access, and a robust media pipeline via Cloudinary with automated cleanup of obsolete assets.
• Delivered a containerized backend infrastructure using Docker, PostgreSQL, Gunicorn, and Nginx, ensuring reliable deployment and scalable runtime performance.
• Improved developer experience and system reliability through OpenAPI (Swagger/Redoc) documentation and comprehensive backend test coverage for core endpoints.

• Built a Telegram lead-generation bot for real estate, automating end-to-end property sourcing and delivery to users.
• Implemented automated scraping and filtering of OLX listings (owner-only rentals and sales) with scheduled updates during business hours.
• Designed and deployed a fully autonomous pipeline for collecting, matching, and delivering relevant property offers via Telegram.