Rafael Dominguez is an owner and experienced IT professional with 15 years of hands-on experience in project management, technical writing, IT support, and data analytics, based in Princeton, Texas. He has a background managing large national projects, training teams, and resolving escalated technical issues across corporate and field environments. Rafael’s open-source contributions include performance engineering work on Google’s Orbit profiler—improving Vulkan integration and GPU/CPU frame time calculations—demonstrating low-level systems and performance tuning skills not obvious from his customer-facing roles. He pairs a Master of Public Administration and business studies with practical technical credentials gained as an installation technician and dispatcher, bridging operational leadership and technical execution. As a self-employed owner since 2020, he focuses on applying his cross-functional experience to government and large-organization engagements. Colleagues would describe him as a pragmatic problem-solver who turns complex technical requirements into clear processes and measurable outcomes.
15 years of coding experience
2 years of employment as a software developer
Study Abroad, Study Abroad at Oxford University
Master of Public Administration - MPA, Public Administration, 3.40, Master of Public Administration - MPA, Public Administration, 3.40 at University of North Texas
Business Administration, Business Administration at The University of Alabama
Contributions:31 reviews, 6 commits, 9 PRs in 1 month
Contributions summary:Rafael contributed significantly to the performance profiling tool, Orbit, by implementing features and fixing bugs related to Vulkan layer integration. They added functionality to dump the process ID using the ORBIT_VULKAN_LAYER_PID_FILE environment variable, enabling integration with automated tools. They also worked on calculating and outputting GPU and CPU frame times within the OrbitFakeClient, improving the tool's capability for measuring performance metrics. Further improvements included fixing GPU frame time calculations, adding logging, and bounding frame times.
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