class MohdAbdulRazzaq:
name = "Mohd Abdul Razzaq"
role = "AI Engineer"
focus = ["LLM Pipelines", "RAG Systems", "Data Science"]
tools = ["Python", "FastAPI", "Groq", "LangChain", "ChromaDB"]
goal = "Building reliable, production-ready AI systems"| Project | Description | Tech |
|---|---|---|
| ⚙️ NL → App Config Compiler | Multi-stage pipeline that compiles natural language into validated UI/API/DB/Auth schemas with targeted repair engine — 85% success rate across 20 prompts | Python, FastAPI, Pydantic, Groq, SQLite |
| 🧠 Enterprise AI Knowledge Assistant | RAG system — chat with documents using local AI | Python, Ollama, ChromaDB, Streamlit |
| 🔍 Credit Card Fraud Detection | ML pipeline detecting fraud with 99%+ accuracy | Python, XGBoost, SMOTE |
| 📧 Spam Email Detection | NLP classifier detecting spam emails | Python, NLP |
| 🏠 House Price Prediction | Regression model predicting house prices | Python, Regression |
🔭 Working on → NL → App Config Compiler (live at Netlify + Render) 🌱 Learning → LLM System Design, MLOps, DeepLearning.AI courses 👯 Open to → AI/ML Internships & Collaborations 💬 Ask me about→ LLM Pipelines, RAG Systems, Python, FastAPI ⚡ Fun fact → Built a multi-stage LLM compiler with a self-repair engine!
⭐ If you find my projects useful please star them! ⭐