Matthew Stamy is a Senior Software Engineer with 13 years of experience building scalable, low-latency systems and full-stack products across cloud-native environments. He has driven real-time ad delivery at Spotify using GCP primitives and C++ SDKs, led service migrations and integration work at Expedia, and built ETL pipelines and Spark jobs at JPMorgan Chase. As owner and lead maintainer of the py-pdf/pypdf project, he contributed deep PDF parsing and automation expertise that complements his production backend work in Java, Python, Node.js, and Kotlin. Based in New York, he pairs hands-on coding and on-call operational responsibility with collaboration across ML, data science, and product teams to ship measurable improvements. Colleagues rely on him for pragmatic, end-to-end solutions that bridge legacy systems and modern cloud platforms.
13 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at The University of Texas at Dallas
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
Role in this project:
Back-end Developer
Contributions:3 releases, 206 commits, 33 PRs in 5 years 2 months
Contributions summary:Matthew primarily focused on modifying and maintaining the PyPDF2 library, a pure-Python PDF toolkit. Their contributions included defining and correcting version numbers across different files, integrating code from external branches, and fixing various bugs within the core library functions, such as those related to string object creation and handling. Furthermore, the user was involved in adapting the code for Python 3 and addressing issues related to specific PDF generation tools like AutoCAD.
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