AI / ML Engineer building production-grade LLM, RAG, and applied ML systems.
role: AI / Machine Learning Engineer
focus: Generative AI · LLM Pipelines · RAG Systems · Applied Machine Learning
building: Reliable, production-ready AI systems for real business problems
status: ONLINE ●Core AI / ML
Generative AI & RAG
Backend & Tools
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| ⚙️ NL → App Config Compiler | Compiles natural language into validated UI/API/DB/Auth schemas with a self-repair engine — 85% success rate across 20 prompts. Python FastAPI Pydantic Groq |
| 🧠 Enterprise AI Knowledge Assistant | Local-first RAG system — chat with your own documents, no cloud dependency. Python Ollama ChromaDB Streamlit |
| 🔍 Credit Card Fraud Detection | ML pipeline detecting fraud at 99%+ accuracy on heavily imbalanced data. Python XGBoost SMOTE |
| 📧 Spam Email Detection | NLP classifier separating spam from genuine email. Python NLP |
| 🏠 House Price Prediction | Regression model for data-driven price estimates. Python Regression |
Agentic AI · Enterprise RAG · Multi-modal AI · LLM Fine-Tuning · MLOps
"Artificial Intelligence is not just my field — it's how I solve real problems."
⭐ If you find my projects useful, please star them! ⭐