Matthew Norman is a Staff Software Engineer with 15+ years of experience building scalable, consistency-focused systems and data pipelines for high-volume products. Trained as an experimental physicist (Caltech BS, UCSD PhD), he combines rigorous statistical thinking and Monte Carlo–based analysis with hands-on engineering in Python, C++, and distributed datastores like Cassandra and DynamoDB. At SurveyMonkey he architected real-time analysis and revenue-tracking pipelines for million+ respondent surveys, and now applies that expertise to GoFundMe’s platform problems. Known for root-cause-driven performance tuning and pragmatic design, he bridges stakeholder needs and low-level implementation details to deliver reliable, high-throughput services. An analyst at heart, he frequently leverages pandas and custom C++ frameworks to squeeze meaningful signals from noisy, large-scale data.
15 years of coding experience
14 years of employment as a software developer
University of California San Diego
BS, Applied Physics, BS, Applied Physics at California Institute of Technology
Contributions:22 commits, 1 PR, 10 pushes in 4 months
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Matthew Norman - Staff Software Engineer at GoFundMe