Md Azim Ullah

Md Azim Ullah, Ph.D., is an accomplished applied scientist with extensive experience in machine learning and data analysis. Previous roles include serving as a System Engineer at Grameenphone Ltd, responsible for the maintenance and expansion of 10,000+ 3G nodeB sites, and working as a Research Assistant at the NIH-funded Mobile Data to Knowledge Center at The University of Memphis, where significant analysis was conducted on wearable sensor data. At Amazon Web Services, Md Azim Ullah contributed to the development of advanced LLM-based architectures and machine learning models for applications in predictive segmentation and user engagement forecasting. Current engagement is as an Applied Scientist at Amazon, focusing on large language models. Academic credentials include a Ph.D. and MS in Computer Science, alongside a BS in Electrical, Electronics, and Communications Engineering and a Graduate Certificate in Data Science.