At Zenoti, I built a production-grade AI knowledge platform using RAG across 2,000+ product documentation pages, helping users find product information and resolve workflow queries through context-aware answers.
I also architected retrieval pipelines with LangChain, embeddings, semantic search, reranking, query rewriting, and multi-provider LLM orchestration across OpenAI, Claude, and Gemini. Through projects including Mark Voice Assistant and CareerPrep AI, I've built real-time voice search and MERN-based interview preparation experiences using LLMs, APIs, and prompt engineering.
