
AI-assisted planning with personal context
A productivity app with AI day planning, natural-language capture, and answers grounded in your task and decision history. Built with a streaming assistant and reviewable suggestions.
AI Engineer | LLM Applications, RAG & Agentic Systems
I build LLM-powered features and the web products around them, from retrieval and tool use to React interfaces and production APIs.
AI-assisted planning and web products for community operations, travel, and gym management. Explore the live sites below.

AI-assisted planning with personal context
A productivity app with AI day planning, natural-language capture, and answers grounded in your task and decision history. Built with a streaming assistant and reviewable suggestions.

Village Development Management System
A village operations system for tracking community programs, funds, expenses, balances, and event timelines in one place.

Travel Companion & Events Platform
Connect with travelers near you. Find companions for trips, events, movies, trekking, and hangouts. Create or join organized travel plans.

Gym management and member engagement
An all-in-one operating system for gyms, bringing memberships, billing, attendance, classes, and member engagement into one dashboard.

I'm an AI engineer with 7+ years of software experience, now focused on building LLM-powered products: agents, RAG pipelines, and AI-native tooling. Based in Hyderabad, India, I work with startups and enterprises to ship AI features that hold up in production.
My focus is the full AI product loop — prompt and context design, retrieval, tool use, evals, and integrating models into real applications. A strong full-stack background (React, Next.js, Node.js) means the AI I build actually ships, not just demos.
My primary focus. I build LLM applications end to end: retrieval, agents, tool use, and evals, then ship them into real products.
Interactive, accessible UIs in React and Next.js.
Stateful servers and APIs that hold up under load.
Schemas, indexes, and caches for fast reads.
Building LLM-powered features and agentic systems in production: RAG pipelines, tool-using AI agents, and MCP-based integrations. Own the AI stack end to end, from prompt/context design to evals and shipping into React/Next.js products.
Built reusable React components for Vassar Labs’ web applications, with Redux for state management and REST API integrations.
Contributed to web development at Vassar Labs while building hands-on experience with HTML, CSS, JavaScript, Angular, and MySQL.
Hyderabad, India