Babar Khilji

I am an AI Engineer specializing in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and production-grade ML systems. I have hands-on experience building and deploying scalable AI solutions using Python, FastAPI, Azure, and Databricks for real-world enterprise applications.

I design and deploy end-to-end AI systems including LLM-powered applications, intelligent document processing pipelines, recommendation systems, and scalable ML inference APIs.

My expertise lies in turning AI ideas into production-ready systems that are reliable, scalable, and cloud-native.

🔹 What I Can Help You Build

• AI Chatbots & Knowledge Assistants (RAG, GraphRAG, Vector Search)
• Custom LLM Applications using GPT, LLaMA, LangChain, and LlamaIndex
• AI Document Processing Systems (PDF extraction, semantic tagging, automation)
• ML Model Development & Deployment with MLflow and scalable APIs
• AI Automation Systems for business workflows
• Recommendation Systems & Data Science Models
• Cloud-based AI systems on Azure or Databricks

🔹 Technologies I Work With

Languages: Python, SQL, Bash
AI/ML: LLMs, Generative AI, NLP, RAG, GraphRAG, Deep Learning, Recommendation Systems
Frameworks: FastAPI, LangChain, LlamaIndex, PyTorch, TensorFlow, Scikit-learn, PySpark
MLOps: MLflow, Docker, Model Serving, CI/CD
Cloud: Azure, Databricks
Databases: Vector DBs, Azure SQL, Cosmos DB, Delta Lake

🔹 Certifications

✔ Databricks Certified Generative AI Engineer Associate
✔ Databricks Certified Machine Learning Professional
✔ Databricks Certified Machine Learning Associate

🔹 Some Real Systems I've Built

• Hybrid RAG knowledge retrieval system combining vector search and knowledge graphs
• AI-powered financial document automation extracting 1400+ attributes from banking documents
• GenAI document lifecycle automation platform with intelligent classification and metadata extraction
• Legacy code modernization system converting enterprise codebases into PySpark using LLMs
• Recommendation engine using unsupervised learning deployed with MLflow

I focus on delivering working AI systems — not just experiments.

If you're looking to build AI-powered products, automation pipelines, or intelligent applications, I’d be happy to help turn your idea into a production-ready solution.

Let’s build something impactful.