Shahnawaz Beigh

I am an AI Engineer and Data Scientist who transitioned scientific research training in chemistry into practical machine learning and MLOps expertise. I focus on building production-ready systems such as RAG pipelines and autonomous agents using Python, Docker, and LangChain.

As a freelance consultant I deliver end-to-end ML solutions for international clients: data cleaning automation, phishing detection systems, AQI forecasting, and generative-document assistants. I emphasize production standards—pip-installable packages, MLflow experiment tracking, and Docker deployments.

My projects showcase applied generative AI, vector databases, and robust backend design: a Hybrid RAG pipeline with Qdrant and FastAPI, an autonomous voice agent with strict Pydantic schemas, and an end-to-end phishing detection pipeline with MongoDB and MLflow.

I bring strong analytical research, hypothesis-driven problem solving, and technical writing to every engagement, aiming to bridge raw data and actionable intelligence while delivering maintainable, production-grade code.