About

I am a full stack software engineer with 3+ years of hands-on experience building and operating production web and mobile applications. I hold a Master's degree in Computer Applications (MCA), which gave me the computer science foundation I have spent the years since putting to work on real systems — the kind that have users depending on them every day rather than the kind that live in a tutorial.

Most of that work has been at product companies rather than agencies, which means I have owned features from the first schema sketch through to the on-call pager: designing the data model, writing the API, building the interface, shipping it, and then living with whatever I got wrong. I care about the parts of software that are invisible when they work — reliability, sensible failure modes, code the next person can read — as much as the parts users see.

On the frontend I build with React and Next.js, and cross-platform mobile apps with React Native and Expo. On the backend I work in Node.js and Express, with PostgreSQL and MongoDB for storage, Elasticsearch when search matters, and AWS — EC2, S3, Lambda, API Gateway — for deployment and operations.

More recently a good share of my work has been applied AI: building a retrieval-augmented internal copilot for semantic search across company email, automating document classification and data extraction from inbound attachments, and wiring language models into products in ways that hold up under real traffic rather than in a demo. I treat these as engineering problems — retrieval quality, evaluation, cost, and latency — not as a coat of paint.

The full experience page has the complete responsibilities for each role, and projects covers what I have built outside of work.

• •You need a production web application built end to end with Next.js, React, TypeScript, and Node.js — including the data model, API layer, and deployment.
• •You need a cross-platform mobile app in React Native and Expo, or an existing one made faster and more reliable.
• •You want an AI feature added to an existing product — retrieval-augmented search over internal documents, an LLM copilot, or automated document classification and data extraction.
• •You need backend services designed and shipped on AWS (EC2, S3, Lambda, API Gateway) with PostgreSQL, MongoDB, or Elasticsearch behind them.
• •You are integrating payments, notifications, or third-party messaging (Razorpay, WhatsApp, transactional email) into a product.
• •You are hiring a full stack engineer, or scoping contract work, and want to evaluate 3+ years of shipped production work first.

• •You need native iOS or Android written in Swift or Kotlin rather than React Native.
• •You need a large agency team, dedicated design, or 24/7 on-call staffing — this is one engineer.
• •You need machine learning research or model training beyond applied use of existing models.

If any of the above matches what you need, get in touch — or email [email protected].