• Contributed to the migration of education-related domains into the new microservice, helping decompose business logic, define clearer service boundaries, and improve platform scalability.
• Served as one of the original authors of several core backend modules, including achievements, clubs, team rewards, and rewards-related analytics.
• Designed and delivered complex workflows for workshops, sharing sessions, participation requests, approvals, registration deadlines, private/open access models, and group-based visibility.
• Built LMS reporting and analytics features with advanced filtering, aggregations, and XLSX exports.
• Implemented cross-service integrations via HTTP APIs and event-driven communication with NATS JetStream, along with asynchronous processing using Celery and RabbitMQ.
• Improved maintainability and service boundaries by applying layered architecture, repository pattern, DTO-based contracts, and use-case-oriented service design.
• Resolved production-critical race conditions, data consistency issues, and synchronization problems in learning-related flows.
• Owned parts of the dev and UAT deployment workflow, including updating Kubernetes configuration in k8s repositories, maintaining Helm-based settings, verifying rollouts in ArgoCD, and investigating runtime issues via Grafana logs.
• Integrated AI-assisted development tools into daily backend workflows, using Codex and agent-based tooling to speed up implementation, debugging, refactoring, and technical exploration.
• Reduced routine test preparation effort by ~72% in typical cases (from ~95s to ~27s), with an estimated ~40 engineering hours saved across ~1,500 tests.

Writing backend and api. Development of the implementation of the system. Search for references for the project. Synchronization of technologies. Deploy the project. Testing and support.

Writing a Telegram bot to improve customer interaction with the company and the opportunity choose to view apartments. Bot deployment and support.