🚀 GenAI-focused Full-Stack Developer building scalable, real-world products from scratch
🧠 Worked on RAG systems, SaaS platforms, and production-ready web applications
💻 Backend-heavy engineer who loves system design, performance, and clean architecture
🌐 Portfolio: https://www.kanishk.codes
📫 Email: kanishkchandna29@gmail.com
💼 LinkedIn: https://linkedin.com/in/kanishk-chandna
✍️ Twitter/X: https://x.com/kanishk_fr
Languages & Runtime: JavaScript, TypeScript, Node.js
Frontend: React.js, Next.js, Tailwind CSS
Backend: Express.js, REST APIs
Databases: MongoDB, PostgreSQL
GenAI & Infra: OpenAI APIs, RAG, Qdrant, BullMQ, AWS S3
Tools: Git, GitHub, Docker, Linux, Postman, Vercel, DigitalOcean
A developer-first platform to deploy RAG-enabled AI chatbots without building infrastructure from scratch.
- Designed end-to-end RAG pipeline: document ingestion → embeddings → vector search → contextual responses
- Implemented multi-bot architecture and embeddable chatbot widget
- Built a scalable ingestion pipeline using AWS S3 + BullMQ + Redis
- Integrated Qdrant for vector search and OpenAI for embeddings and completions
- Currently evolving into a SaaS product
Tech: Next.js, Node.js, MongoDB, Qdrant, OpenAI, BullMQ, AWS S3, Clerk
🌍 Live: https://thumbly.kanishk.app
A GenAI-powered platform for automated YouTube thumbnail generation.
- Built full-stack architecture integrating OpenAI and Cloudinary
- Designed prompt engineering and image generation pipeline
- Achieved 50+ real users and organic adoption
- Featured in Hitesh Choudhary’s YouTube video
Tech: Next.js, Node.js, MongoDB, OpenAI, Cloudinary
Built multiple full-stack and backend systems across GenAI, APIs, and scalable web applications.
👉 Explore all projects: https://github.com/Kanishk2004?tab=repositories
- GenAI-powered products (RAG, chatbots, automation tools)
- Backend-heavy systems with scalable architecture
- Developed tools and SaaS platforms
- Real-world products with actual users
