Tom Grigg is a seasoned software professional with roughly seven years of hands-on engineering experience and a long tenure in technical roles spanning SAIC to his current CRP Fellowship at MIT in California. He brings deep expertise in back-end systems, QA and test automation—evidenced by contributions to the Scala 3 compiler where he strengthened regression testing and fixed testing-framework issues for a high-profile open-source project. Tom blends practical reliability work (bug fixes, automated tests) with architectural insight from prior principal-architect and senior analyst roles, making him effective at preventing regressions as well as shaping systems. He holds a BS in Computer Science from San Diego State and pursued a Udacity Nanodegree in Deep Learning, signaling a continuing interest in ML adjacent tech. An understated strength is his focus on test integrity—helping ensure that complex language tooling behaves predictably over time.
7 years of coding experience
8 years of employment as a software developer
Nanodegree, Deep Learning, Nanodegree, Deep Learning at Udacity
BS, Computer Science, BS, Computer Science at San Diego State University
Back-end Developer, QA Engineer / Test Automation Engineer
Contributions:131 reviews, 175 commits, 141 PRs in 1 year 10 months
Contributions summary:Tom primarily contributed to the Scala 3 compiler, focusing on improving its testing suite. They added regression tests to address specific issues, demonstrating a focus on bug fixing and ensuring the compiler's reliability. Their contributions included writing tests to catch and prevent the recurrence of identified problems within the compiler. They also fixed issues with the testing framework and ensured the integrity of the compiler through automated tests.
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