Building intelligent software at the intersection of AI and full-stack engineering.
I'm a B.Sc. Artificial Intelligence & Machine Learning student and full-stack developer building real-world products while growing toward a career as an AI Engineer.
- 💻 I build full-stack web applications with the MERN stack (React, Node.js, Express, MongoDB) and integrate Python AI services into them.
- 🤖 I'm exploring LLM applications, RAG systems, vector databases, and AI agents — from prompt engineering to production integration.
- 🌱 I'm currently studying Advanced Python, Data Structures & Algorithms, Machine Learning, and Deep Learning.
- 🎯 My goal is to combine AI engineering with full-stack development to ship intelligent products that solve real problems.
I'm building my path from full-stack development to AI engineering with hands-on AI projects:
- LLM applications — conversational AI powered by Groq and Llama models
- RAG systems — retrieval-augmented generation with ChromaDB and embeddings
- AI agents & assistant workflows — multi-step conversational backends
- Python AI services — FastAPI backends connected to full-stack frontends
- AI deployment — moving from prototypes toward production-ready integration
A multi-tenant AI SaaS platform that lets anyone deploy a website-specific AI chat assistant in minutes with a single embeddable script tag — powered by RAG on Google Gemini. Built with a Next.js dashboard, an embeddable widget SDK, a FastAPI backend, and a Docker-based production pipeline with CI/CD.
Tech: Next.js · TypeScript · FastAPI · MongoDB · Redis · Docker · CI/CD
Highlights:
- Tenant + admin dashboards with billing, API keys, and analytics
- RAG over website content with an embeddable zero-code widget
- Docker Compose stack with automated build, test, and deploy workflows
An intelligent AI assistant built on a full-stack architecture: a React frontend, Node.js/Express backend, and a FastAPI Python service that orchestrates LLM inference, RAG retrieval, and conversation workflows with MongoDB persistence.
Tech: React · Node.js · Express · FastAPI · MongoDB · LangChain · Groq
Highlights:
- LLM-powered conversations with RAG over custom content
- JWT authentication and persistent chat history
- Backend API + AI service integration in one product
An Airbnb-inspired full-stack rental platform with authentication, property listings, reviews, wishlists, cloud image uploads, and map-based search — with a fully responsive UI.
Tech: Node.js · Express · MongoDB · EJS · Cloudinary · Mapbox
A responsive scientific calculator supporting arithmetic, trigonometry, logarithms, factorials, permutations, and combinations with a clean modern interface.
Tech: HTML · CSS · JavaScript
- 🔄 Machine Learning · Deep Learning
- 🔄 PyTorch
- 🔄 Generative AI · RAG · AI Agents
- 🔄 MLOps
- ✅ MERN Stack · Advanced Python · DSA · OOP
- 🌐 Delta – Full Stack Web Development — Apna College • View credential ↗
- 🐍 Python for Data Science and Machine Learning • View credential ↗
- 🤖 Artificial Intelligence Foundations: Machine Learning • View credential ↗
Statistics are generated offline by GitHub Actions and refreshed daily — no third-party stats server.
💡 Always building, learning, and open to collaborations.