RAG Lens
Agentic RAG evaluation — measure and improve retrieval-augmented generation pipelines.
Full Stack Developer
I build fast, scalable web apps at Walmart.

About me
I'm a Full Stack Developer and Software Engineer at Walmart Global Tech India, with around six years of experience building fast, scalable web applications. I graduated from NIT Silchar, where I learned to care deeply about performance, clean architecture, and thoughtful UX. I love turning complex problems into polished products — from React and Next.js frontends to Node.js APIs, Firebase integrations, and production-ready deployments. When I'm not shipping features, I'm experimenting with 3D visuals, open source, and tools that make developers faster.
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Years Exp
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Projects
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Open Source
Skills
From React and Next.js frontends to agentic RAG systems, LangChain, vector stores, and cloud-native workflows — I focus on performance, maintainability, and delightful UX.
Portfolio
Agentic RAG evaluation — measure and improve retrieval-augmented generation pipelines.
Automated Zerodha trade execution and portfolio analysis via an MCP bridge between Claude AI and the Kite trading API.
End-to-end CNN for self-driving using Nvidia’s methodology — camera preprocessing, TensorFlow/Keras, and Udacity simulator integration.
Real-time peer video chat with signaling and sockets.
Full-stack ordering flow with real-time status updates.
Career
Software Engineer
Bengaluru, India
Full Stack Developer
Bangalore (Remote)
Technology Consultant
Mohali, Punjab
B.Tech — Computer Science
Have a project in mind or want to collaborate? Send a message — I typically reply within 48 hours.