I'm a full stack developer who enjoys owning a feature from the database to the last pixel: web and mobile apps, the APIs behind them, and AI pipelines that check their answers.
- Frontend · React, Next.js, TypeScript, React Native, Tailwind
- Backend · Node.js, Express, FastAPI, Flask, REST, JWT
- Data · PostgreSQL, Supabase, MongoDB, SQLite
- AI · multi-agent RAG with CrewAI, LangChain, FAISS
- Shipping · Docker, AWS, Vercel, GitHub Actions
- Education · B.Tech, NIT Srinagar
- Looking for · full stack developer roles
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Split shared expenses and settle up in the fewest payments. A Next.js web app and an Expo mobile app on one TypeScript core, with 150 automated tests.
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Multi-agent RAG system for support tickets. Every claim is cited to a policy file and checked by a compliance agent before it reaches the customer.
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Drag-and-drop workflow engine like n8n. Eight node types on a React Flow canvas, with a FastAPI engine that validates every graph.
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Asset logistics platform for military bases. Tracks purchases, transfers and assignments, with three user roles enforced on the server.
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Note-sharing platform for students. Posts organised by tags, personal dashboards, and login secured with JWT and bcrypt.
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Installable todo app that keeps working offline thanks to service-worker caching, and installs to the home screen like a native app.
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More projects (10 more: APIs, AI tools, mobile and data)
| Project | What it does | Stack |
|---|---|---|
| Social Media Backend API | Posts, hashtags, follows, likes and personalized feeds | Express, TypeScript, TypeORM |
| Network Posture Scanner | Subnet discovery and CIS benchmark checks on a live AWS dashboard | Python, AWS Lambda, DynamoDB |
| Task Automation API | Chained and batched tasks with retries and webhook triggers | FastAPI, asyncio |
| Trade Opportunities API | Sector-wise market reports from live search, with rate limiting and API keys | FastAPI, Gemini |
| Todo App | iOS and Android task manager that works offline | React Native, Expo |
| Offline YouTube Summarizer | On-device Whisper → BART video summaries, no cloud APIs | Python, Whisper |
| Sentiment Analysis | Five models benchmarked on 70k YouTube comments | TensorFlow, BERT |
| MAHI AI Agent | Extracts structured fields from PDFs and answers questions about them | Streamlit, FAISS |
| Sorting Visualizer | Sorting algorithms animated step by step · live ↗ | JavaScript |
| Superstore Analytics | Retail dashboard showing segment performance and loss drivers | Power BI, SQL |
FRONTEND
BACKEND · DATA · CLOUD
AI
