Qi Zhang is an accomplished Research Scientist at Meta since August 2021, specializing in building reliable and large-scale model serving platforms for AI applications. Prior to this, Qi Zhang worked as a Research Staff Member at IBM from April 2017 to August 2021, focusing on confidential computing for Kubernetes and OpenShift within the IBM Hybrid Cloud, as well as blockchain performance optimization. Earlier experience includes serving as a Research Assistant at Georgia Institute of Technology from August 2012 to May 2017, where Qi Zhang concentrated on shared memory-based virtual machine performance optimization and big data processing. Qi Zhang's academic credentials include a Doctor of Philosophy (Ph.D.) in Computer Science from Georgia Institute of Technology, a Micro MBA from IBM, and both a Master's degree (MS) and a Bachelor of Science (BS) in Computer Science from Huazhong University of Science and Technology, where Qi Zhang also began academic training as a Graduate Research Assistant from September 2009 to March 2012, working on desktop virtualization and I/O performance improvement.
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