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 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.
A stock market data application built with Next.js, ShadCN, and Tailwind CSS, leveraging Angel Broker's API to fetch and display and historical market data.
A Web application using Next.js, integrating the Gemini API for AI-driven teaching notes generation. The application allows users to input any paragraph and receive comprehensive teaching notes.
Mockie is an advanced AI-driven Career Assistant designed to streamline the resume creation, inteview prepration process. It is built using Next.js for its robust and dynamic front-end capabilities, Firebase for secure and scalable backend infrastructure, and the Gemini API to enhance the AI functionalities.
IKEA Ship Anywhere is a web application designed to facilitate IKEA's shipping services. The platform is built using Next.js for its modern, responsive user interface, ensuring a smooth user experience across devices.
EcoVentures is a React-based application designed to help users find eco-friendly transportation options based on various input parameters. The project features an intuitive and interactive user interface, built with React