Matthew Norman
Staff Software Engineer at GoFundMe
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolMatthew 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 DiegoBS, Applied Physics, BS, Applied Physics at California Institute of Technology
English
Github Skills (21)
notable9
historical8
san8
finance4
python4
bottle4
pypy3
cms3
statistics3
sphinx-extension2
subcommands1
pluggable1
ios1
react-native1
multiplatform1
Programming languages (4)
Github contributions (5)
codeforsanjose/BuildingPermitsPlus
Nov 2015 - Jun 2016
The goal of this group is to analyze historical data from building permit records to determine anything notable (such as bottle-necks etc..), and to design and develop a web interface for the application process.
Contributions:40 commits, 12 PRs, 24 pushes in 7 months
recordsweb-interfacegoalhistoricalhistorical-data
opensmc/housing-platform
Aug 2016 - Jan 2017
Contributions:22 commits, 1 PR, 10 pushes in 4 months
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