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FullStack Developer · India 🇮🇳 · Open to Internships

B.Tech CSE @ GLA University · 2028 · GSSoC 2026 Contributor

I build backend systems — REST APIs, AI-integrated services, and distributed tooling. My primary stack is Node.js + Express + MongoDB, with Python for ML-adjacent work. Currently contributing in GSSoC 2026 (AI/Agents track), focused on replacing in-memory job execution with a persistent Agenda.js queue in the ABAC permission system.

I care about system correctness, clean abstractions, and code that ships without surprises.

Node.js · Express · MongoDB · Sharp · React

Detects AI-generated images using a multi-signal scoring pipeline: model confidence (50%), visual artifact analysis via Sharp (30%), and EXIF metadata forensics (20%). Returns a verdict across four confidence tiers. Built the full backend, scoring engine, and API layer.

Node.js · Express · Google Gemini · Sarvam AI

Webhook-based chatbot targeting Indian MSMEs. Supports Hindi, Tamil, Telugu, Bengali, and Marathi via Sarvam AI for Indic language routing. Gemini handles response generation. Designed as a ₹499–999/month SaaS product.

Languages — JavaScript · TypeScript · Python · Java · C++

Backend — Node.js · Express · FastAPI · REST APIs

Databases — MongoDB · MySQL · SQLite

AI/ML — Google Gemini · OpenAI · LangChain · RAG pipelines

Infra — Docker · GitHub Actions · Linux · Git

Frontend — React (when necessary)