I am a passionate GenAI Engineer with a robust background in full-stack development and artificial intelligence. With expertise in Python, JavaScript, and TypeScript, I excel at creating innovative solutions in AI/ML, web development, and data-driven applications. I have hands-on experience working with modern frameworks like React.js, Next.js, and Django, and integrating advanced AI tools such as Hugging Face, LangChain, and Gemini.
Driven by curiosity and a commitment to excellence, I have contributed to impactful projects like AI-powered resume and teaching notes generators, modern job boards, and online assessment platforms. My work reflects a blend of technical proficiency and creative problem-solving, ensuring scalable and user-friendly solutions.
Beyond coding, I value collaboration, continuous learning, and leveraging technology to create meaningful user experiences.
AI chatbot that debunks myths and rewards users with coupons when they ask myth-related questions; non-myth queries get standard responses.
GenAI-powered assistant that answers business queries and schedules meetings through natural conversation.
AI agent using LangChain, FastAPI, Next.js, TailwindCSS, and Gemini API. The agent processes user queries, leverages product context, and delivers intelligent responses with tailored product recommendations.
Streamlit app that converts natural language questions into SQL queries, executes them on a live database, and summarizes results with LLMs.
A stock market data application built with Next.js, ShadCN, and Tailwind CSS, leveraging Angel Broker's API to fetch and display historical market data.
A web application using Next.js and Gemini API for AI-driven teaching notes generation from any input paragraph.
A responsive shipping support platform for IKEA built with Next.js to ensure smooth user experience across devices.
React-based application to help users discover eco-friendly transportation options via an intuitive interface.