Sri Lakshmi

At Cognizant, I developed a Text2SQL ReAct Agentic System that converts natural-language requests into SQL queries and user-friendly responses using LLMs.

I built the workflow with LangChain, Python, SQLAlchemy, and SQLite Cloud to generate, validate, and execute SQL. My Text-to-SQL project also includes a Streamlit interface that shows generated SQL, retrieved records, and execution progress.

I'm an Artificial Intelligence and Machine Learning undergraduate who also built LearnO, a multi-agent learning ecosystem for roadmap planning, adaptive assessments, summarization, math reasoning, resource discovery, and job matching. I enjoy applying Generative AI, RAG, and agentic workflows to solve real-world problems, and have shared modern language-model knowledge as a DeepParse Workshop resource person.