Featured
Currently working with the engineering team on backend development and production software systems, gaining hands-on experience building and maintaining real-world applications.
Worked on AI-powered music generation products and voice-first conversational experiences, contributing to both infrastructure and model-focused initiatives.
Highlights
◦ Built an Agentic AI assistant designed for real-time, voice-first interactions.
◦ Developed a Model Context Protocol (MCP) server, enabling Soundverse’s music generation APIs to be used inside MCP-compatible environments such as Claude Desktop, Cursor, and Windsurf.
◦ Improved audio generation quality by 25% through optimization of deep learning and statistical modeling pipelines.
◦ Collaborated on AI systems focused on delivering more reliable and natural user experiences.
Academic
At NIT Delhi, I've explored software engineering, machine learning, and AI through coursework, internships, and hands-on projects. From AI-powered applications to full-stack products, I enjoy turning ideas into systems people can use. Beyond engineering, I'm actively involved in the Photography Club, capturing and documenting campus life.
Featured
A ride-sharing app built for NIT Delhi that helps students, faculty, and staff share cabs, split fares, and travel safely within a verified campus community.
Automatically filters blurry photos, removes duplicates, and enables instant visual search across large event photo collections.
An AI receptionist that answers calls, handles customer queries, and helps businesses stay available even outside working hours.
A modern web application for orchestrating and managing Langflow workflows, built with Next.js, TypeScript, and SQLite.
Creative
live from New Delhi, India
© 2026.
