Gaurav Singariya

I am a Data Scientist and Machine Learning Engineer with 2+ years of industry experience in data engineering and an MSc in Data Science (Distinction) from the University of Glasgow. My background combines production data engineering with applied machine learning, allowing me to build scalable AI systems from data ingestion through deployment. I have built production-focused projects including a multi-agent AI analyst using LangGraph and LangChain, a financial Retrieval-Augmented Generation (RAG) system with hybrid retrieval and LLM guardrails, and a production-grade MLOps platform for customer churn prediction using LightGBM, XGBoost, CatBoost, FastAPI, MLflow, and Docker. I enjoy building reliable, maintainable AI applications rather than just training models, with experience in Python, SQL, PyTorch, Scikit-learn, PySpark, Databricks, AWS, GitHub Actions, and modern LLM frameworks. I am looking for remote opportunities as a Machine Learning Engineer, AI Engineer, Applied AI Engineer, or Data Scientist where I can contribute to building production AI systems, LLM applications, MLOps platforms, and scalable machine learning solutions while continuing to grow as an engineer.