Résumé

Multi-site SaaS platform serving Dashboard, Freelance, and Agency/Business workflows.

• Delivered scalable backend APIs for multiple SaaS products using Django REST Framework and ML model serving.
• Led the frontend implementation, building Vue.js interfaces for Dashboard, Freelance, and Agency products.
• Reduced unnecessary database queries by eliminating N+1 query patterns across Django applications.
• Improved backend reliability by diagnosing production issues, fixing bugs, and refactoring existing services.
• Automated application delivery with GitHub Actions CI/CD pipelines from development through deployment.
• Expanded language-processing capabilities by evaluating and integrating NLP libraries for text features.

B2B engineering team building AI-powered products and ML services.

• Improved PostgreSQL performance by 2.5x by migrating JSON workloads to JSONB and optimizing access patterns.
• Automated payment and account synchronization with APIs linking backend services to Telegram workflows.
• Integrated multiple LLM providers (ChatGPT, Gemini, TogetherAI), making models switchable through backend APIs.
• Built AI retrieval workflows by implementing RAG pipelines on vector databases for LLM-powered applications.
• Improved infrastructure observability with Grafana, Prometheus, and GPU Exporter for server and GPU metrics.
• Added self-hosted object storage by deploying MinIO as an S3-compatible storage layer.
• Deployed backend services on AWS EC2, managing application infrastructure and production releases.

University platform containing approximately 4,000 majors, quizzes, and educational datasets.

• Built the core backend platform with Django REST APIs for university filtering, mock exams, and learning workflows.
• Integrated local payment providers by implementing the Payme and Click payment APIs.
• Reduced repeated database operations by introducing Redis caching for frequently accessed data.
• Created an internal administration system for managing thousands of majors, quizzes, and datasets.
• Introduced semantic search by integrating Qdrant as the vector database for recommendations.
• Containerized the production stack by deploying React and Django services with Docker.
• Implemented scalable file storage by integrating AWS S3 for application-managed assets.
• Mentored 2 Golang developers, guiding their work on future backend services.

POS platform used by 2,000+ clients for retail management and tax-related operations.

• Built and maintained backend APIs used by 2,000+ clients with Django-based services for the POS platform.
• Reached approximately 80% API test coverage by introducing and expanding pytest-based unit tests.
• Refactored approximately 30% of the codebase to Clean Code and Django best practices, improving maintainability.
• Reduced deployment complexity by containerizing multiple Django and React applications with Docker.
• Centralized API documentation using Docusaurus and Swagger/OpenAPI.
• Mentored an intern, providing practical backend development guidance.