Klint Qinami is a software engineer with a decade of experience specializing in machine learning systems, compilers, and frameworks, currently building ML compiler infrastructure and PyTorch-related tooling at Meta. He holds a PhD in Computer Science from Princeton and a BS in Computer Science and Applied Mathematics from Columbia, blending deep research training with production engineering. Prior roles at Qualcomm and Reservoir Labs show a steady progression from hands-on engineering to staff-level responsibilities across ML and systems projects. Based in New York, he brings expertise in bridging compiler internals with ML runtime demands, and his background suggests a knack for turning academic ideas into scalable engineering solutions.
10 years of coding experience
7 years of employment as a software developer
High School Liberal Arts and Sciences/Liberal Studies, High School Liberal Arts and Sciences/Liberal Studies at The Beacon School
Bachelor of Science - BS Computer Science Applied Mathematics, Bachelor of Science - BS Computer Science Applied Mathematics at Columbia University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Princeton University
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