Mohammad Shahmeer Ahmad is a Research Assistant at QCRI. His work focusses on Data Centric AI, Data Wrangling, and Foundation Models such as LLMs. He graduated from Carnegie Mellon University with a B.Sc. in Information Systems. Shahmeer’s experience includes developing systematic approaches to improve data quality and discoverability and creating tools leveraging these algorithms. He has contributed to various projects such as a Retrieval Augmented Generation (RAG) system for tabular data for data wrangling and cleaning, a cross modality data discovery system for structured and unstructured data, and benchmarking the capabilities of LLMs in various data cleaning and querying tasks.