I'm a Full Stack & AI Engineer passionate about building scalable, production-grade systems that combine modern web technologies with cutting-edge AI. I specialize in agentic AI, RAG pipelines, and cloud-native architectures.
- 🔭 Currently working on DeepDSA (AI competitive programming platform) and DevOps Agent (autonomous deployment assistant)
- 🌱 Deep diving into Agentic AI, LangGraph, RAG systems, and Generative AI workflows
- 🎓 3rd Year B.E. in CSE-AI at Chitkara University (CGPA: 8.86)
- ✍️ Technical blogger at raghavsingla.tech — demystifying complex systems
- 💬 Ask me about Next.js, Node.js, AI Agents, LangChain, System Design
- 📫 Reach me: 04raghavsingla28@gmail.com
- ⚡ Fun fact: I love listening to music while coding!
- Architected a scalable freelance marketplace using Next.js, Node.js, and MongoDB with role-based authentication, improving backend performance by 30%
- Integrated Gemini AI for personalized skill-verification tests, increasing evaluation accuracy by 40%
- Built automated reservation and payment system with Stripe, reducing manual workload by 60%
- Developed responsive website for national-level hackathon with 300+ participants
- Integrated MongoDB for efficient data management, handling 1000+ database transactions
- Implemented Cloudinary for media management, optimizing 500+ document uploads
- Led development of IEEE-CIET and HackWithHer websites using Next.js
- Built secure admin dashboards and registration systems used by 1,000+ students
Tech Stack: Next.js, Redis, PostgreSQL, MongoDB, Judge0, Docker
- Architected microservices-based platform designed to scale to millions of users
- Built AI Voice Interviewer using speech-to-text + LLMs for real-time interactive coding interviews
- Implemented problem management, editorial tools, dashboards, and real-time code execution engine
Tech Stack: LangGraph, RAG, Web APIs, MCP
- Deployed AI-driven legal research assistant processing 10,000+ legal documents
- Engineered multi-source intelligence system with RAG + citations for real-time legal answers
- Implemented automated case analysis for evaluating merit, precedents, and strategies
Tech Stack: LangGraph, LangSmith, MCP, AWS, Docker, Kubernetes
- Building LLM-driven agent to automate deployments across AWS, GCP, Azure
- Enables natural-language deployment workflows for CI/CD + infrastructure provisioning
- Integrating with cloud providers for autonomous system management
I write technical deep-dives explaining how complex systems work under the hood. Check out my latest posts:
| Title | Topics | Link |
|---|---|---|
| How OTP Authentication Works in Real Systems | Security, Backend Architecture | Read → |
| How QR Codes Actually Store Information | Encoding, Data Structures | Read → |
| How Google Authenticator Codes Work Without Internet | 2FA, TOTP, Cryptography | Read → |
| How Tor Browser Works | Networking, Privacy, Security | Read → |
| The Tech Behind UUIDs | System Design, Distributed Systems | Read → |
| Git Demystified: How It Tracks, Stores, and Merges Your Code | Version Control, Data Structures | Read → |
| How Google Docs Works | Real-time Collaboration, System Design | Read → |
📚 Read all my blogs at: raghavsingla.tech/blog
- 📦 Created and published 4 NPM packages with 1,000+ combined downloads
mern-vite-shadcn-templatevite-tailwind-startervite-shadcn-starter
- 🥇 SIH College Level Round Qualifiers 2023
- 🏅 Finalists – HackIndia Web3 Hackathon
