Software Engineering Intern-AI & RAG Systems, NComputing
Led end-to-end development of an AI-powered Retrieval-Augmented Generation (RAG) assistant to improve customer support and sales workflows. Built a production-ready system that automates knowledge ingestion and adds conversational memory to reduce reliance on manual responses. Supported deployment preparation by collaborating with support and sales teams to test and refine the assistant using user/workflow feedback. • Designed the RAG assistant for scalability and maintainability • Integrated with customer support and admin workflows • Automated knowledge ingestion for the knowledge base • Added conversation memory to maintain context across turns