Nandana Gopalakrishnan

I am an AI/ML enthusiast pursuing a Master of Science in Artificial Intelligence, focused on building usable AI prototypes and integrating proven LLMs with emerging APIs. I bring hands-on experience deploying models and web interfaces using Flask, Streamlit, and FastAPI.

My projects include speech emotion recognition, a multilingual semantic search tool with ChromaDB and transformer embeddings, and a mental health chatbot with sentiment and risk analysis. I optimize data preprocessing, prompt engineering, and model integration to improve real-time performance.

In internships and project work I develop full-stack solutions: responsive front ends with JavaScript/Bootstrap and back ends powered by Python, SQLAlchemy, and persistent storage. I contribute to open-source workflows and emphasize secure API communication and maintainable documentation.

I communicate effectively across teams, automate data pipelines, and design user-centered interfaces that enable faster decision-making and reliable LiveOps-ready products. I seek roles where I can iterate on LLM-driven products and deliver measurable improvements in user experience and automation.