Bob Muniz is a Test Engineer based in Seattle with a 14-year track record in QA across mobile, web and machine intelligence platforms, currently contributing to Google. He has led development of scalable automation frameworks and test infrastructure, embedding and mentoring automation engineers across multiple projects to raise testing maturity organization-wide. His experience spans on-device personalization, mobile vision and AI hardware testing, including creating camera-mocking testbeds and tools for reproducible ML vision evaluation. Bob combines hands-on debugging and tool development with vendor and team management, having hired, trained and transitioned TVC teams into long-term ownership. He’s interested in machine intelligence and mobile devices, and brings a practical emphasis on making automated, end-to-end tests reliable in multi-device environments. A former freelance web developer, he pairs engineering curiosity with a history of building tooling that improves manual testing efficiency and reporting.
5 years of coding experience
9 years of employment as a software developer
Computer and Information Sciences, General, Computer and Information Sciences, General at DeVry University
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Contributions:5 reviews, 1 commit, 1 PR in 1 day
mlirspirvvulkantensorflowcompiler
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.