I am an AI-first Full-Stack Engineer with experience designing, building, and deploying scalable web applications and intelligent software systems. Over the past year, I have worked across the full development lifecycle, building modern applications with React, Next.js, NestJS, Flask, Docker, and Google Cloud Platform. My work has involved frontend development, backend API architecture, third-party service integrations, authentication systems, cloud deployment, and containerized infrastructure. I enjoy building end-to-end products that are technically solid, scalable, and intuitive for users. A key part of my experience has been integrating AI capabilities into production-ready applications. I have built systems using large language models, Retrieval-Augmented Generation (RAG) pipelines, vector databases, and AI-powered workflows to create intelligent user-facing features. This has helped me develop a strong understanding of how to combine traditional software engineering with applied AI while maintaining performance, clean architecture, and usability. Prior to my current role, I was selected as a Software Engineering Fellow at Headstarter AI, where I built and deployed several full-stack projects in fast-paced weekly development cycles. During the fellowship, I developed an AI-powered professor recommendation platform that used web scraping, vector embeddings, Pinecone, Vertex AI, and Gemini to deliver contextual responses through a RAG pipeline. I also built an AI-powered SaaS flashcard generator that dynamically creates study materials from any topic using large language models, complete with authentication, dynamic user interfaces, and a Stripe-powered subscription paywall. These experiences strengthened my product thinking, rapid prototyping skills, and ability to ship useful AI-enabled applications quickly. In addition to my professional and fellowship experience, I have contributed to open-source software through the FOSSASIA community. I worked on improving the eventyay-talk platform using Python, Django, and VueJS, where I enhanced the registration component and submitted pull requests that were merged into the project. Contributing to an open-source codebase helped me gain valuable experience in collaborative development, code quality, contribution workflows, and production-grade software practices. What excites me most about software engineering is building systems that combine strong backend architecture, intuitive user interfaces, and intelligent AI-powered functionality. I am particularly interested in full-stack development, cloud infrastructure, distributed systems, and creating software that is both technically robust and genuinely useful.…I am an AI-first Full-Stack Engineer with experience designing, building, and deploying scalable web applications and intelligent software systems. Over the past year, I have worked across the full development lifecycle, building modern applications with React, Next.js, NestJS, Flask, Docker, and Google Cloud Platform. My work has involved frontend development, backend API architecture, third-party service integrations, authentication systems, cloud deployment, and containerized infrastructure. I enjoy building end-to-end products that are technically solid, scalable, and intuitive for users. A key part of my experience has been integrating AI capabilities into production-ready applications. I have built systems using large language models, Retrieval-Augmented Generation (RAG) pipelines, vector databases, and AI-powered workflows to create intelligent user-facing features. This has helped me develop a strong understanding of how to combine traditional software engineering with applied AI while maintaining performance, clean architecture, and usability. Prior to my current role, I was selected as a Software Engineering Fellow at Headstarter AI, where I built and deployed several full-stack projects in fast-paced weekly development cycles. During the fellowship, I developed an AI-powered professor recommendation platform that used web scraping, vector embeddings, Pinecone, Vertex AI, and Gemini to deliver contextual responses through a RAG pipeline. I also built an AI-powered SaaS flashcard generator that dynamically creates study materials from any topic using large language models, complete with authentication, dynamic user interfaces, and a Stripe-powered subscription paywall. These experiences strengthened my product thinking, rapid prototyping skills, and ability to ship useful AI-enabled applications quickly. In addition to my professional and fellowship experience, I have contributed to open-source software through the FOSSASIA community. I worked on improving the eventyay-talk platform using Python, Django, and VueJS, where I enhanced the registration component and submitted pull requests that were merged into the project. Contributing to an open-source codebase helped me gain valuable experience in collaborative development, code quality, contribution workflows, and production-grade software practices. What excites me most about software engineering is building systems that combine strong backend architecture, intuitive user interfaces, and intelligent AI-powered functionality. I am particularly interested in full-stack development, cloud infrastructure, distributed systems, and creating software that is both technically robust and genuinely useful.WWWW…