Muhib Khan is a Research Scientist at Meta’s Data Infrastructure organization with a PhD in Computer Science from Florida State University and eight years of experience building and optimizing large-scale systems. His academic work centered on tuning and optimization for cluster computing frameworks, with applied research on caching and shuffling in Apache Spark that informed practical system improvements. Prior roles span research and teaching at FSU, multiple systems-focused internships at Facebook, and hands-on engineering across mobile, VoIP, and payment platforms, giving him a rare blend of production software delivery and research rigor. Based in Menlo Park, he excels at turning high-dimensional configuration problems into deployable solutions and has a track record of speeding up systems and developer workflows through pragmatic automation.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, 4.00, Doctor of Philosophy (PhD), Computer Science, 4.00 at Florida State University
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at Bangladesh University of Engineering and Technology
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