Vaibhav Gupta

I am an AI/ML-focused Computer Science student specializing in intelligent systems built with LLMs, LangChain, and agentic frameworks. I develop full-stack AI applications with multimodal capabilities and voice interfaces to make AI more accessible and reliable.

My projects include a multimodal RAG-based AI tutor that reduced hallucinations by 40% through a multi-agent design and a Deep Research Agentic-AI system that integrates multiple academic sources for high-quality, cross-validated outputs.

I have built production-oriented systems such as a Gemini-powered video analyzer with real-time Q&A, a Pinecone-backed movie recommender, and a Gradient Boosting-based Valorant performance predictor (0.89 R²), deploying several projects with Streamlit for non-technical users.

I combine strong Python expertise, NLP and embedding-based retrieval experience, and practical exposure to health-data ML in an internship setting to deliver robust, evaluated AI solutions. I am seeking opportunities to apply and extend these skills in real-world AI engineering roles.