I'm a Full-Stack Developer with a deep focus on backend engineering, specializing in building systems that are reliable, scalable, and cost-efficient. I completed my MCA from The Maharaja Sayajirao University of Baroda and have since dedicated my work to architecting production-grade APIs, cloud infrastructure, and AI-powered data systems.

While I can own a product from end to end, I am most at home at the intersection of backend engineering and artificial intelligence—where I enjoy designing the core logic that powers complex, real-world applications.

My work revolves primarily around backend services, cloud architecture, and AI integration. I've spent significant time designing and maintaining high-performance REST APIs, optimizing database schemas, building LangChain-powered RAG pipelines, and integrating vector databases like Pinecone.

I enjoy working close to the system internals—understanding how different components interact at scale and making practical decisions that balance performance, maintainability, and infrastructure cost.

I approach problems by breaking them into smaller, manageable parts and iterating toward a solution. I value clear system boundaries, observability, and designs that are easy for others to understand and maintain.

Good engineering, to me, is less about chasing complexity and more about making thoughtful trade-offs that hold up over time.

Currently, I'm deepening my focus on system design, LLM-powered applications, and architectural decision-making. I'm especially interested in how large systems scale, how AI can be embedded meaningfully into production workflows, and tooling like Claude Code and Cursor that change how engineers build.