nivas pownraj

I am a Full Stack Developer and AI enthusiast with an M.Tech in Computer Science and Engineering, focused on building AI-native products that combine LLMs with MERN stack architectures. I have hands-on experience integrating Generative AI (Gemini/OpenAI) into end-to-end solutions such as recommendation engines and personalized assistants.

My projects include ZenLift, an AI-powered fitness companion that uses Gemini and OpenAI APIs with a secure Node.js/MongoDB backend and JWT authentication, and Smart Campus Assistant, which aggregates lecture content and provides AI-generated summaries and practice tests. I have practical experience in data preprocessing, EDA, machine learning model training, and visualization using Python, Pandas, and scikit-learn from an AI & Data Science internship.

I bring a pragmatic, product-oriented approach to AI-assisted prototyping and prompt engineering, and I aim to deliver robust, secure full-stack systems that translate AI research into usable features that improve user outcomes.