At Netsmartz, I design and deploy production LangGraph agents for enterprise clients, including multi-step workflows for natural-language data querying with schema-aware retrieval and self-correcting query validation. I also engineer FastAPI backends that connect multiple LLM providers and validate structured outputs.
In my AI-Powered Quiz Generator project, I developed a hybrid RAG pipeline using vector and BM25 retrieval, HyDE, and Cohere reranking. I also built a LangGraph SQL agent that retrieves database context, validates generated SQL, and queries an Azure Synapse data warehouse.
