AI Systems Engineer | Web3 & GPU Infrastructure
Building production-ready systems, not demos.
π rahulkhunte.github.io/portfolio
Real-time Ethereum blockchain monitoring system with WebSocket connections
- Tech: Node.js, ethers.js, WebSocket, Infura
- Features: Live block scanning, whale detection (100+ ETH), analytics
- Status: β Tested & Deployed
- Repo: github.com/rahulkhunte/crypto-whale-tracker
- Portfolio: View Details
GPU-powered Telegram bot with Stable Diffusion and payment integration
- Tech: Python, PyTorch, CUDA, SDXL Turbo, Telegram API
- Features: 4s generation, 3 quality tiers, credit system, payments
- Status: βοΈ Production-ready
- Repo: github.com/rahulkhunte/ai-image-bot
- Portfolio: View Details
- π€ AI/ML Systems: GPU-accelerated inference, model deployment, API design
- π Web3 Applications: Blockchain monitoring, DeFi analytics, smart contracts
- β‘ Infrastructure: Docker, VPS management, WebSocket real-time systems
- π° Monetization: Payment integration, credit systems, SaaS architecture
- Email: rahulk.rk903@gmail.com
- GitHub: @rahulkhunte
- LinkedIn: rahulkhunte
- Dec 2025: Initial launch with 2 production projects
- More coming: Additional projects in AI, Web3, and GPU infrastructure
Languages: Python, JavaScript, Node.js, Solidity
AI/ML: PyTorch, Stable Diffusion, CUDA, ComfyUI
Web3: ethers.js, Web3.js, Infura
Infrastructure: Docker, Linux, Git, VPS, Railway
β Star this repo if you find it useful!
This portfolio showcases real, production-ready projects with actual deployments and working code.