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Abdul Rahman has a strong background in machine learning and research. Abdul began their career in 2018 as a Software Engineer and Research Assistant at TUKL R&D Lab. During this time, they worked on various projects, including DNA classification using CNNs and Graph CNNs. Abdul then moved on to a research assistant role at Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), where they contributed to projects focused on approximating velocity and pressure in fluid dynamics simulations using deep convolutional neural networks. In 2019, Abdul Rahman returned to TUKL R&D Lab as a Research Assistant, where they continued their research work until 2021. Abdul also gained experience as a Machine Learning Engineer at Vyro.ai, where they developed semantic segmentation models for mobile devices. Currently, they are working at Autify as a Machine Learning Engineer.

Abdul Rahman completed their Bachelor of Engineering (BE) degree in Computer Software Engineering from the National University of Sciences and Technology (NUST) between 2017 and 2021. Prior to that, they attended Govt. College Taunsa from 2015 to 2017, although the degree and field of study for this period are unknown.