David Manzi is an experienced systems engineer specializing in data center performance analysis and AI cluster efficiency. They have held various positions, including Performance and Capacity Engineer at Meta, where they focused on AI efficiency in ML training, and Member of Technical Staff at AMD, where they conducted performance analysis on AMD EPYC products. Their early experience includes internships and assistant roles at companies like Intel, Adobe, and the Rwanda Development Board, with a Master of Science in Computer Engineering from Utah State University. David has also contributed to academic research, co-authoring a publication on the effects of visual feedback distortion on human gait.
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