Developed an AI assistant integrated into Microsoft Teams, enabling employees to retrieve product and client-related information through natural-language conversations. • Designed a RAG pipeline combining document processing, embeddings, vector similarity search, and reranking to ground LLM responses in enterprise knowledge. • Built the application with React, .NET, and Azure AI Services on a serverless Azure Functions backend designed to scale LLM-powered interactions. • Implemented LLM and RAG evaluation and observability to measure response quality, retrieval performance, latency