Worked on vector database integration

Worked on vector database integration and optimization for AI-driven search and retrieval systems. Focused on improving embedding indexing strategies, query latency, and large-scale similarity search performance.

Built ingestion pipelines for high-dimensional vector data and implemented retrieval-augmented generation (RAG) workflows for semantic search applications.