Mak Kader is an accomplished data scientist and machine learning engineer with extensive experience across various roles in academia and industry. At IBM since August 2017, Mak Kader has focused on designing and implementing end-to-end MLOps processes and developing solutions to enhance the operationalization of machine learning models. Prior to this, experience includes positions as a cognitive software engineer intern at IBM Watson, where Mak Kader built machine learning models for financial analytics, and as a software engineer at Samsung R&D Institute, developing AI applications in C. Academic qualifications include a PhD in Computer Science from The University of Texas at El Paso, along with a Master of Science and Bachelor of Science in Computer Science and Engineering. Additionally, Mak Kader served as a teaching assistant and research assistant during earlier years in education.
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