Generative AI Intern * Built and integrated **Generative AI applications** using **Python, LangChain, Google Gemini API, and Groq**, with a focus on prompt engineering and context-aware response generation. * Designed and refined **prompts for LLM applications**, including role-based prompting, few-shot prompting, and conversational workflows to improve response quality and relevance. * Developed **RAG-based applications** using **ChromaDB and Hugging Face embeddings** for document retrieval and context-grounded LLM responses. * Implemented **multi-turn conversational workflows and session-based memory** for maintaining relevant conversation context. * Built and tested AI application workflows using **LangChain and LangGraph**, including agent-based architectures and tool-calling capabilities. * Integrated LLM applications with **APIs and backend services** using **FastAPI**, and developed interactive prototypes using **Streamlit**. * Deployed AI applications using **AWS EC2, AWS S3, and Hugging Face Spaces**, gaining hands-on experience with AI application deployment. * Analyzed and debugged AI-generated responses, iterating on prompts and application logic to improve response accuracy and reliability.