Domenic Barbuzzi
Senior Software Quality Engineer at Red Hat
Woburn, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolDomenic Barbuzzi is a Senior Software Quality Engineer with 11 years of experience specializing in test automation, build/release engineering, and web e-commerce quality. He has driven test strategy and automation at companies like Monotype and Neural Magic, owning frameworks and adding robust pytest smoke and CLI tests for production inference runtimes. At Monotype he bridged support, development, and QA—building browser extensions and CLI tools to improve cross-team workflows and accelerate releases. His open-source contributions include dependency and build maintenance for Homebrew and improving test coverage for DeepSparse, showing a practical focus on reproducible builds and reliable delivery. Now at Red Hat, he applies that blend of hands-on tooling, cross-functional coordination, and deep QA discipline to scale quality across complex systems. Colleagues describe him as a pragmatic problem-solver who turns support insights into automation that prevents recurring issues.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Salem State University
Stackoverflow
135reputation
6kreached
2answers
1question
Github Skills (23)
dependency-management10
pytest10
package-management10
python10
testing10
homebrew10
automated-build10
cicd9
webp9
inference8
machine-learning8
onnx8
computer-vision7
nlp7
save6
Programming languages (9)
Github contributions (5)
neuralmagic/deepsparse
Feb 2022 - Aug 2022
Sparsity-aware deep learning inference runtime for CPUs
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:35 reviews, 8 commits, 19 PRs in 5 months
Contributions summary:Domenic focused on enhancing the testing infrastructure for the `deepsparse` repository. Their contributions included adding new CLI tests, improving existing test coverage by adding `smoke` tests using pytest. They also updated tests related to server functionality, ensuring that the tests are robust, correctly use the models and pass the right parameters.
llm-inferenceruntimetensorflowsparsificationmachinelearning
Homebrew/legacy-homebrew
Feb 2016 - Feb 2016
💀 The former home of Homebrew/homebrew (deprecated)
Role in this project:Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:5 commits, 3 PRs, 2 comments in 1 day
Contributions summary:Domenic's contributions primarily revolve around updating and bumping revisions for dependencies within the Homebrew package manager. The commits reveal a focus on integrating and updating packages like `webp`, and updating relevant formulae that depend on these packages to ensure compatibility. This indicates a role in managing and maintaining the build process and dependencies for the project. The work included bumping revisions for several formulae to incorporate a new dependency and its updates.
macoshomebrew
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