Scott Vokes is a Staff Software Engineer in Grand Rapids with 17 years building reliable, low-level systems and tooling across real-time, embedded, and cloud platforms. At Fastly he focuses on production-grade engineering while his prior roles span embedded compression at Atomic Object, IoT at Helium, and real-time search and constraint-satisfaction work earlier in his career. A pragmatic C hacker and test advocate, he contributes to open-source projects like the compact C testing library "greatest", the heatshrink compression library, and the K language implementation—often improving test coverage, portability, and pedantic correctness. His background in scripting and automation, combined with experience in parametric graphical configuration and SQLite, gives him a knack for turning complex, resource-constrained problems into maintainable solutions.
17 years of coding experience
5 years of employment as a software developer
BA, History, BA, History at Grand Valley State University
A C testing library in 1 file. No dependencies, no dynamic allocation. ISC licensed.
Role in this project:
Back-end Developer
Contributions:2 reviews, 266 commits, 23 PRs in 11 years 1 month
Contributions summary:Scott primarily contributed to the core functionality and features of the C testing library. They added parametric testing examples, incorporated a new listing switch to the library and added related documentation for help options. Furthermore, the user refactored code to resolve various warnings under `-pedantic` and added new assertions.
data compression library for embedded/real-time systems
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:1 review, 42 commits, 19 PRs in 8 years 5 months
Contributions summary:Scott's contributions primarily revolve around enhancing the test suite for the data compression library. They made changes to test files, updated external dependencies, and fixed warnings. Their work involved adding new test cases to ensure proper functionality and refining existing tests for robustness. The user appears to be focused on improving the quality and reliability of the library's compression and decompression processes.
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