For me, the most practical AI work is usually about grounding LLMs with RAG, documents, and clean retrieval, not just prompting. If you're exploring that path, I can help map the architecture or tradeoffs.
About
I am a B.Tech student in Electronics and Communication Engineering with specialization in Artificial Intelligence and Machine Learning. I am passionate about Generative AI, Full Stack Development, and emerging technologies.
I have worked on AI-based applications including RAG chatbots, document intelligence systems, and MERN stack web applications. My experience includes internships at Siemens Energy, where I worked on Generative AI and Azure OpenAI solutions, and at the IFSO Special Cell, where I gained exposure to cybersecurity and digital forensics.
My interests include Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, Computer Vision, MERN Stack Development, and AI Agent Systems. I enjoy solving real-world problems through technology and continuously learning new tools and frameworks.
