I build end-to-end web applications using the MERN stack combined with Machine Learning, Generative AI, and data-driven intelligence. My goal is to create scalable, reliable, and production-ready solutions that solve real business problems.

I work across the complete full-stack development lifecycle, including system design, frontend development, backend APIs, and database management. I focus on building responsive user interfaces, secure and efficient backend services, and well-structured application architectures that are easy to maintain and scale.

Alongside full-stack development, I integrate Machine Learning models and GenAI workflows to add intelligent features such as automation, recommendations, text analysis, and AI-powered insights. I have experience with data preprocessing, feature engineering, model integration, and optimization to ensure AI components perform reliably in real-world environments.

I also work with data analysis, transforming raw data into meaningful insights that support better decision-making and smarter application behavior. Performance, scalability, and clean architecture are central to my development process, ensuring long-term stability and growth.

Rather than building experimental demos, I focus on delivering practical AI-powered systems that create real value. Whether developing a product from scratch or enhancing an existing application with intelligent features, I aim to deliver solutions that are robust, efficient, and aligned with business goals.