أعضاء هيئة التدريس
محمد شاهمير احمد
باحث مساعد
معهد قطر لبحوث الحوسبة
- البريد الإلكترونيmohammadshahmeerah@hbku.edu.qa
السيرة الذاتية
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.
الاهتمامات البحثية
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Data Centric AI: Leveraging data processing techniques to improve safety, accuracy, and robustness of AI models
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Data Wrangling: Extraction and processing of relevant information from complex structures such as multi-modal PDFs, images, Human Centric Tables
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Foundation Models: Understanding and addressing the limitations of foundations models on various input types
المؤهلات العلمية
B.Sc. Information Systems
Carnegie Mellon University
2021
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