Mohammad Shahmeer Ahmad | Hamad Bin Khalifa University
Hamad Bin Khalifa University


Mohammad Shahmeer Ahmad

Mohammad Shahmeer Ahmad

Research Assistant
Qatar Computing Research Institute


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.

Research Interests

  • Data Centric AI: Leveraging data processing techniques to improve safety, accuracy, and robustness of AI models
  • Data Wrangling: Extraction and processing of relevant information from complex structures such as multi-modal PDFs, images, Human Centric Tables
  • Foundation Models: Understanding and addressing the limitations of foundations models on various input types


B.Sc. Information Systems

Carnegie Mellon University


Selected Publications