Delhi, India

Aruj Garg

Backend • AI • Systems

Building backend systems, developer infrastructure, and AI-powered applications.

01ABOUT

Final-year Computer Science student at Maharaja Surajmal Institute of Technology, interested in backend engineering, AI, and infrastructure.

I enjoy understanding how systems work under the hood — from APIs and databases to queues, containers, and the infrastructure connecting them.

Interests

Backend EngineeringDistributed SystemsAI EngineeringDevOpsDeveloper Tooling

02EXPERIENCE

Research Commons

Frontend Developer Intern

May 2025 - Nov 2025

Bangalore (Remote)

Built and maintained frontend features for a research platform, working across responsive UI, API integration, state management, and reusable component architecture.

→Developed 25+ responsive and modular UI components across 10+ product features using Next.js, TypeScript, and Tailwind CSS.
→Integrated and debugged REST APIs across 8+ frontend workflows using Redux Toolkit and TanStack Query for data fetching, caching, and synchronization.
→Refactored 15+ legacy and reusable components to improve rendering performance, maintainability, and consistency.
→Identified and resolved 30+ UI/UX, layout, API integration, and state-management issues while collaborating with designers and backend developers.

Next.jsTypeScriptRedux ToolkitTanStack QueryTailwind CSSGit

03PROJECTS

SkyDeploy

A deployment platform for building and running Dockerized applications, inspired by platforms like Vercel and Render.

Featured

Next.jsExpressPostgreSQLRedisDockerNginx

GitHub ↗Live ↗

IncidentIQ (currently building)

An AI-powered incident investigation platform that connects application metrics and logs to help investigate production incidents.

FastAPIPythonPrometheusGrafanaLoki

GitHub ↗

ShortLink

A production-style URL shortener with Redis caching, rate limiting, click analytics, and background processing.

Featured

Next.jsExpressPostgreSQLRedisPrisma

GitHub ↗Live ↗

Research Agent

An AI research assistant capable of searching the web, fetching pages, and streaming research results to the client.

PythonFastAPILangChainSSE

GitHub ↗Live ↗

DocuQuery RAG

A document-based RAG assistant that lets users upload documents and ask questions about their contents using retrieval-augmented generation.

Featured

PythonFastAPILangChainRAGVector Store

GitHub ↗Live ↗