Below are AI-powered applications and intelligent systems built using cutting-edge GenAI technologies, LLMs, and modern web frameworks.
Inquestor is an AI Agent built for research, featuring an interactive and user-friendly web interface built with Next.js and React that allows users to input queries, view structured results with sources, and download the generated research as a PDF document.
An AI-powered VR Interview Platform leveraging conversational AI to simulate realistic interview scenarios. This platform helps users practice and refine their communication skills through interactive dialogues with AI-driven virtual interviewers, providing instant feedback and performance analysis.
An interactive PDF Chat Application built with Streamlit, allowing users to upload PDF documents and ask questions about their content. The app leverages Google's Generative AI (Gemini for chat, and embedding models for RAG) and LangChain to process PDFs, create FAISS vector stores, and provide context-aware answers. Features include multi-PDF management and persistent local vector storage.
With expertise in Generative AI and modern web technologies, accompanied by a bachelor's degree in engineering, I bring proficiency in AI/ML, conversational AI systems, and full stack development. Skilled in crafting intelligent applications, RAG systems, and implementing scalable AI solutions. Demonstrated success in managing AI-driven projects and collaborating effectively with teams to deliver innovative solutions.
Software Engineer with expertise in Generative AI, LLMs, and the MERN stack. Skilled in designing intelligent applications, RAG systems, and conversational AI solutions
Contributing to AI-powered full-stack application development, with a focus on GenAI integration, performance optimization, and scalable system architecture.
Groomers is an Immersive and AI-enabled platform for students/professionals to practice and develop Communication skills through conversational AI
My personal development experience includes various AI applications and full stack solutions that I have worked on throughout my college life.
Grade: 7
Grade: 80%
Below are the details to reach out to me!
Bengaluru, India