I am a Computer Science Engineering student and Full Stack Web Developer with strong expertise in the MERN stack, focused on building scalable, user-centric web applications with clean frontend architecture and reliable backend systems. Alongside full-stack development, I am actively preparing for Software Development Engineer (SDE) roles by strengthening my skills in Data Structures & Algorithms, System Design, core Computer Science fundamentals, and Cloud computing. I have hands-on experience with Docker and Kubernetes and a solid understanding of the Software Development Life Cycle (SDLC) and Agile development methodologies, enabling me to deliver projects efficiently while following industry-standard engineering practices. I am currently learning Microsoft Azure Fundamentals and building a strong foundation with a clear understanding of cloud concepts, Azure core services, security, identity,governance, pricing, and cost management. I am becoming comfortable working with Azure compute, networking, storage, database, and serverless services, and I am able to quickly adapt cloud fundamentals across platforms to support scalable application deployments. I have developed and implemented Generative AI solutions including Large Language Model (LLM)-based systems, conversational AI assistants, AI agents, vector embeddings, vector databases, and Retrieval-Augmented Generation (RAG) pipelines using LangChain for document-aware intelligent systems. I integrated these AI components within full-stack architectures to build context-aware, scalable, and production-oriented AI applications. Beyond academics, I actively contribute to open-source projects and participate in hackathons, collaborating with teams to design and build practical, impact-driven solutions. I thrive in collaborative environments and continuously work on improving my technical depth and problem-solving skills. 🚀 Currently focused on growing as a Software Development Engineer with a strong emphasis on scalable full-stack systems and practical AI integration.