Josh Grant is a test automation specialist and developer relations advocate with over a decade of hands-on experience building and hardening test suites in Python, Java, and JavaScript. He has served in technical customer-facing roles at Sauce Labs and Code Intelligence and now represents his personal brand while exploring developer relations, content, and engineering work. His background in applied mathematics and mathematical biology informs a methodical approach to testing and quality engineering, often focusing on coverage and consistency in open-source projects like proselint. Comfortable switching between coding, evangelism, and solution architecture, he brings a rare blend of rigorous analytical thinking and practical tester instincts to developer-focused roles. Based in Toronto, he publishes technical writing on his blog and enjoys bridging the gap between robust automation and clear developer communication.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science (Honours) Mathematics, Bachelor of Science (Honours) Mathematics at Trent University
MSc Applied Mathematics, MSc Applied Mathematics at Western University
Master of Science (M.Sc.) Mathematical Biology, Master of Science (M.Sc.) Mathematical Biology at MSc - Applied Mathematics, The University of Western Ontario
Bachelor of Science (BSc) Mathematics, Bachelor of Science (BSc) Mathematics at BSc - Mathematics, Trent University
Contributions:17 commits, 21 PRs, 13 pushes in 5 years 4 months
Contributions summary:Josh primarily contributed to the project by writing and modifying test cases. The commits focused on adding tests for various functionalities, including those related to butterick symbols, the existence_check function, cliches, capitalization, consistency, and coverage. The changes involved modifying existing test files and creating new ones, demonstrating a focus on improving the test suite and ensuring code quality.
Contributions:31 commits, 2 PRs, 35 pushes in 1 year
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