Matthew Suozzo is a Senior Software Engineer based in New York with 12 years of experience building reliable backend systems and improving developer tooling. At Google since 2015, he focuses on robust, deterministic behavior and testability—skills reflected in contributions to high-profile open-source projects like CPython, setuptools, and Google’s yapf formatter. He has a strong testing and QA mindset, having helped harden Python’s mock/testing infrastructure and added safeguards that surface subtle bugs. Matthew combines performance-oriented engineering (optimizing gspread API usage) with careful API and packaging work to reduce nondeterminism in builds and installs. He holds a BS in Computer Science and an MS in Computer Security from Columbia, bringing both practical production experience and a security-conscious perspective to his work. Colleagues rely on him for thoughtful fixes that improve developer experience and long-term maintainability.
13 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Columbia University - Fu Foundation School of Engineering and Applied Science
Master of Science - MS, Computer Security, Master of Science - MS, Computer Security at Columbia Engineering
Contributions:14 commits, 6 PRs, 8 comments in 3 years 6 months
Contributions summary:Matthew primarily focused on improving the `yapf` code formatter for Python. They addressed issues related to formatting list/dict/set comprehensions and single-argument function calls with generators. Several commits involved adjusting split penalties and the overall formatting logic. Further contributions involved modifying test cases and updating documentation related to style flags and settings.
Contributions:24 commits, 10 PRs, 14 pushes in 7 months
Contributions summary:Matthew primarily focused on optimizing and refactoring the `gspread` library's core functionality, specifically addressing performance bottlenecks in methods related to row and column value retrieval and insertion operations. They improved the efficiency of these operations by utilizing range-based API requests, reducing the number of individual API calls. Furthermore, the user fixed failing tests and addressed encoding issues, improving the reliability and usability of the library.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.