I specialize in architecting and scaling full-stack applications enriched with AI-driven capabilities. My work involves seamlessly integrating large language models (LLMs), vector embeddings, and automation workflows into modern web platforms. On the frontend, I focus on building intuitive and responsive user interfaces using cutting-edge frameworks to deliver cohesive AI-powered experiences. Beyond application development, I’ve led innovative initiatives at the intersection of AI and engineering—working extensively on model context protocols and leveraging a diverse suite of tools including Cline, AI agents, copilots, and other advanced systems. These efforts have enabled intelligent automation and next-generation product experiences across a variety of domains.

As a Specialist Programmer at Infosys, I led the migration of a large-scale project from React.js to Next.js, incorporating Static Site Generation (SSG) and Server-Side Rendering (SSR) to achieve a 40% increase in application performance and reduce page load times. I managed a team of 4 developers to implement advanced SEO strategies, resulting in a 30% increase in organic traffic. I also developed a custom analytics solution similar to Google Analytics, boosting click-through rates by 25% and user engagement by 15%. Additionally, I enhanced code quality through rigorous reviews and best practices, leading to a 20% reduction in bug rates and improved stability.

In my role as an Associate Full Stack Developer at Celebal Technologies, I architected and optimized AI-driven solutions using Next.js, React.js, Node.js, and Azure, significantly enhancing system performance and scalability. I developed and implemented CI/CD pipelines with Azure DevOps, ensuring faster and more reliable releases. Additionally, I optimized back-end systems with scalable microservices architectures, leading to a 25% improvement in performance and reliability.