Anuj Rajput — Software Engineer · AI Applications & Frontend

Software Engineer with 1+ year of production experience building React/Next.js and AI-powered applications. Built OnboardFlow, a multi-agent codebase intelligence platform (LangGraph + MCP + Qdrant) and PageChat, a RAG Chrome extension published to the Chrome Web Store. Won 7 global hackathons including EthIndia.

Contact: rajputanuj041@gmail.com | GitHub: github.com/rajputanuj31 | LinkedIn: linkedin.com/in/anuj-rajput-054b69230

Work Experience

Frontend Developer — GlueX Protocol (Jan 2025 – Jan 2026)

  • Built real-time DeFi portfolio dashboard in Next.js 16, displaying live positions across 10+ protocols — reduced load time by 40% via code splitting.
  • Integrated TanStack Query for real-time data synchronization, reducing data loading times by 30% and improving application responsiveness.
  • Implemented secure wallet management and seamless network switching using Privy and Wagmi v2, strengthening user security and overall experience.
  • Redesigned the embeddable widget system, reducing bundle size by 25% and improving load time on 3rd-party integrations.
  • Built swap UI for DEX aggregation, displaying optimal routing across multiple liquidity sources for best price execution.

Projects

OnboardFlow — Multi-Agent Codebase Intelligence Platform (May 2026 – Present)

Tech: Next.js, FastAPI, LangGraph, Qdrant, MCP, OpenAI, LangSmith, Docker

  • Architected a multi-agent Q&A and PR review system using LangGraph dynamic routing, streaming outputs via SSE.
  • Integrated Model Context Protocol (MCP) to decouple codebase analysis tools, enabling secure, standardized tool calling.
  • Designed a Qdrant RAG pipeline featuring session-scoped metadata filtering and content-hash caching.
  • Implemented an async "LLM-as-a-Judge" evaluation harness logging real-time telemetry to LangSmith.
  • Live Link: onboard-flow-two.vercel.app
  • GitHub: github.com/rajputanuj31/OnboardFlow

PageChat — AI Chrome Extension (Feb 2026 – Present)

Tech: React.js, TypeScript, FastAPI, LangChain, FAISS, OpenAI API, Python

  • Built and published a Chrome extension (MV3) that lets users chat with any webpage using a RAG pipeline.
  • Backend: FastAPI + LangChain with FAISS vector store, RecursiveCharacterTextSplitter, and WebBaseLoader.
  • Frontend: React + TypeScript content script injected into pages; chat history persisted per URL via chrome.storage.
  • Live on Chrome Web Store: chromewebstore.google.com/detail/pagechat/clkgpcmjodnbcapllcihbnaflcjapini
  • GitHub: github.com/rajputanuj31/PageChat

ZK-Insurance — EthIndia'24 (3rd Place, Dec 2024)

Tech: Next.js, The Graph, ZK-Proofs, Solidity

  • Engineered a decentralized insurance platform leveraging ZK-proofs and MPC for privacy-preserving claims.
  • Integrated Anon Aadhaar for secure identity verification and The Graph subgraphs for efficient data querying.

Proof of Follower — Unfold'24 (Prize Winner, Dec 2024)

Tech: Move, Aptos, TypeScript, Next.js

  • Built a decentralized social finance platform on Aptos allowing users to mint profile-based assets.
  • Implemented on-chain scoring via Oracles and integrated Farcaster/Okto for social identity verification.

ezCred — EthIndia'23 (3rd Place, Dec 2023)

Tech: Next.js, Solidity, TypeScript, Ethers.js

  • Used ERC-4337 for seamless user onboarding and gas sponsorship.
  • Implemented the 1inch Token Plugin to eliminate aggregated oracles, reducing gas costs significantly.

Token Hunt — MLH Web3Apps'23 (1st Place, Aug 2023)

Tech: Solidity, React, JavaScript, Ethers.js

  • Built an NFT Raffle platform using AI-generated images for NFTs and Verifiable Random Functions (VRFs) for a fair raffle system.

OneClickAuth (NPM Package, Sep 2024)

Tech: React, MongoDB, Node.js, Redux, JWT

  • Built and published an npm authentication package enabling plug-and-play JWT auth for React/Node apps.
  • Reduces auth setup from ~200 lines of boilerplate to a single import.
  • Handles client routing, token refresh, and backend middleware.

Open Source — Joomla! (Jan 2023 – Dec 2023)

Tech: Cypress, JavaScript, PHP, Automation

  • Authored and maintained automated E2E test scripts using Cypress, improving CI/CD reliability.
  • Successfully merged 35+ pull requests and implemented drag-and-drop functionality for file management.

Technical Skills

Languages: TypeScript, JavaScript, Python

Frameworks: Next.js, React 19, FastAPI, LangChain, LangGraph, Tailwind CSS, Node.js

Web3: Wagmi v2, Viem, Ethers.js, Privy, The Graph

AI & Tools: OpenAI API, Pinecone, FAISS, Qdrant, RAG, MCP, LangSmith, Docker, TanStack Query, Zustand, AWS Amplify, Git, PostHog, Framer Motion

Education

Indian Institute of Information Technology, Pune — B.Tech in Electronics and Communication Engineering (2021–2025), CGPA: 7.28

Achievements

  • Won 7 global hackathons including EthIndia, Unfold, and MLH events, competing against 500–2,000 teams per event.
  • Published PageChat on Chrome Web Store — a production AI application serving real users.
  • Merged 35+ pull requests in Joomla! CMS open source project.
  • Solved 300+ DSA problems on GFG and LeetCode.