Ilnur Gumerov

- Architected backend services for a multi-project RAG-based knowledge platform using FastAPI and PostgreSQL. - Designed data architecture where PostgreSQL acts as the source of truth while Elasticsearch and Qdrant serve as derived search layers for full-text and vector retrieval. - Implemented event-driven document processing pipelines using Kafka for tasks such as parsing, chunking, and embedding generation. - Integrated S3-based file storage with hybrid search infrastructure (Elasticsearch + Qdrant). - I

- Designed and implemented AI-driven backend services with FastAPI and PostgreSQL. - Built RAG-based applications with vector search pipelines and LLM integrations. - Developed React interfaces for document ingestion, semantic search, and AI-assisted querying. - Contributed to backend architecture improvements and CI/CD pipelines.

- Developed backend services and REST APIs for internal and client-facing systems. - Implemented data transformation utilities using DuckDB and ClickHouse. - Improved system reliability through bug fixes and refactoring legacy modules. - Contributed to API design and backend architecture improvements.