Ethan Shama
Graduate Teaching Assistant at Stephen J. R. Smith Faculty Of Engineering And Applied Science At Queen's University
Based in Toronto, Canada
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Seniority
Staff
Department
Education
Location
Toronto
Industry
Higher Education
Company size
298
Contact information
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e•••••••@smithengineering.queensu.ca
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Background
About Ethan Shama
As a highly motivated computer engineering student, I am committed to advancing my expertise in High-Performance Computing (HPC), Artificial Intelligence (AI), and Machine Learning (ML). My rigorous coursework in computer architecture, digital systems, computer networks, computer vision, machine learning, and deep learning has prepared me for this field. Over the past two years, I have leveraged HPC techniques to accelerate AI/ML workflows and optimize computational efficiency. Notable accomplishments include achieving nearly 2x speedups in TensorFlow-based image classification models through accelerator and multicore server optimization, developing a weak-scaling framework for A* and its variants path-planning algorithm that outperformed traditional approaches by up to 4x, and designing a custom performance analysis tool that accelerates GPU trace data extraction by 23x compared to existing Nvidia Tools. Proficient in multiple programming languages and parallel programming paradigms, I am eager to contribute to groundbreaking advancements in HPC and AI.
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