Mina Toma is a software engineer and computer science graduate based in Munich with eight years of experience and internships at both Google and Microsoft. She specializes in algorithms, databases, number theory, and optimization, and enjoys tackling hard problems end-to-end—from theoretical design to large-scale implementation. Mina has contributed to the well-known Verible SystemVerilog toolset, focusing on back-end feature extraction and robust unit-test automation for language parsing and qualified identifier support. Her background blends rigorous academic training with hands-on engineering in backend systems and test automation, reflecting a preference for correctness and elegant solutions. Colleagues know her for turning complex extraction and parsing challenges into reliable, maintainable components. She brings a detail-oriented, research-minded approach to building scalable software.
Verible is a suite of SystemVerilog developer tools, including a parser, style-linter, formatter and language server
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:120 reviews, 53 commits, 65 PRs in 3 months
Contributions summary:Mina contributed significantly to the development of Verible, focusing on enhancing the functionality of SystemVerilog developer tools. Their work involved the extraction of features, including class members, function arguments, and enum definitions. They also created a suite of unit tests to verify the correctness of the extractor and added support for features like qualified identifiers.
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