I'm a Computer Science undergraduate at IIT Gandhinagar who enjoys turning ideas into complete, working products — from frontend and backend to authentication, databases, containerization, CI/CD and cloud deployment.
| 🎓 Education | B.Tech in Computer Science & Engineering, IIT Gandhinagar |
| 🌐 Web | Full-Stack Developer — MERN stack & Next.js |
| 📱 Mobile | Cross-platform apps with React Native |
| ☁️ DevOps | Docker · GitHub Actions · AWS EC2 · Kubernetes (Minikube) |
| 🧮 Fundamentals | Data Structures & Algorithms in C++ |
| 🤖 AI | AI Agents, RAG, LangChain, LangGraph |
| 🏗️ Interests | Web3 & System Design |
Requirement → Frontend → Backend → Database → Auth → Docker → CI/CD → Cloud → Infrastructure
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Full-stack trading platform with portfolio management, watchlists, holdings, orders and interactive charts. Backend and landing page are deployed on AWS EC2 with an automated GitHub Actions CI/CD pipeline. Tech Stack
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Professional networking platform with authentication, user profiles, connections, social feed, posts & comments, and resume generation. Tech Stack
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Cross-platform React Native donation app with Firebase Authentication, Razorpay payments and secure server-side payment verification. Tech Stack
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Image-sharing dApp where images are pinned to IPFS through Pinata and only the resulting IPFS URL is stored in a Solidity smart contract. Owners can grant, list and revoke other wallets' access to their images, and every transaction is reviewed and signed in the user's own MetaMask wallet. Runs on a local Hardhat network. Tech Stack
🔗 Repository |
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| Project | Contribution | Status |
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| Kensaku | Windows tray icon follows the app theme — #144 · fixes #46 | |
| RaBitQ-Library | CI test that runs the Python quick-start examples — #224 · fixes #215 | |
| Foldergram | Likes tab on App-Folder pages — #114 · fixes #109 |
Statuses are live from GitHub. All my pull requests →
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I'm interested in AI-enabled products and agentic systems, where AI is part of a complete software product rather than an isolated model.
- 🔍 Retrieval-Augmented Generation (RAG) and vector databases
- 🧠 Embeddings, LangChain and LangGraph
- 🕹️ AI agents and FastAPI-based AI backends

