I build production-focused software products at the intersection of AI, music technology, and travel technology.
Currently exploring Retrieval-Augmented Generation (RAG), agentic workflows, and modern full-stack engineering.

• Built and deployed full-stack AI-powered applications
• Implemented Retrieval-Augmented Generation (RAG) using PostgreSQL and pgvector
• Developed a custom tool-using AI agent architecture
• Designed CI/CD workflows and production deployment pipelines
• Building products in Music Technology and Travel Technology

I'm a full-stack developer (B.Tech CSE AI, 2026) who enjoys transforming ideas into working products.

My primary interests include:

• Agentic AI Systems
• Retrieval-Augmented Generation (RAG)
• Full-Stack Web Development
• Music Technology
• Travel Technology
• AI-Assisted Software Engineering

I learn by building products, solving practical problems, and continuously improving engineering workflows.

• Software Engineering Internships
• Full Stack Development Roles
• AI Engineering Internships
• Product Engineering Opportunities

A music technology platform inspired by modern digital audio workstations, designed to help musicians compose, practice, and explore Indian classical music through structured raga-based workflows.

• RAG-powered music assistant grounded in raga knowledge
• pgvector-based semantic retrieval
• Multi-provider LLM architecture
• Multi-track sequencing workflows
• MIDI export capabilities
• Pitch detection for music practice
• OAuth and Magic Link authentication
• Row-Level Security (RLS)
• Redis rate limiting
• Production monitoring

Next.js • React • Supabase • PostgreSQL • pgvector • Tailwind CSS • Tone.js

An intelligent travel companion platform powered by Atlas, a custom-built AI agent designed to assist users with planning and managing trips.

• Custom tool-using AI agent
• Real-time streaming responses
• Travel planning workflows
• Weather intelligence
• Currency conversion
• Places discovery
• Budget planning
• Emergency assistance information
• Translation support
• Packing recommendations

• JWT Authentication
• Passport.js
• MongoDB
• Mongoose
• Request validation
• Layered caching
• CI/CD workflows

React • Vite • Node.js • Express • MongoDB

Currently exploring how modern AI frameworks compare with custom-built retrieval and agent architectures.

React • Next.js • JavaScript • HTML • CSS • Tailwind CSS • Vite

Node.js • Express.js • Python

MongoDB • PostgreSQL • Supabase

RAG • pgvector • LangChain • LangGraph • Ollama • Redis • Vercel

Git • GitHub • Claude Code • Antigravity • Replit

• Advancing AI Engineering skills
• Building production-ready software products
• Contributing to meaningful projects
• Expanding expertise in agentic systems and retrieval architectures
• Continuing development of Saptaswara and TripMate

Building products, learning continuously, and turning ideas into working software.