Martin Becker is a Principal Application Engineer V&V at MathWorks with 11 years of experience helping teams and toolmakers improve embedded software development workflows to meet safety and security standards like ISO 26262, DO-178, and IEC 61508. He blends hands-on verification and workflow engineering with requirements-driven product feedback, gap analyses, and tool strategy to increase quality and developer velocity without needless overhead. His background spans academia and industry—from avionics systems engineering at Airbus to research and teaching at TUM—giving him a pragmatic, research-informed approach to complex verification problems. As a performance-minded engineer he has contributed to open-source profiling tooling, sharpening measurement accuracy and output clarity, and he runs a cybersecurity consulting practice focused on critical software. An advocate of essentialism, he prioritizes high-impact work and measurable process improvements that scale across teams and products.
11 years of coding experience
10 years of employment as a software developer
Dipl.-Ing.(BA), B.Sc.(hons), Electrical Engineering/Communications Engineering, Dipl.-Ing.(BA), B.Sc.(hons), Electrical Engineering/Communications Engineering at Baden-Wuerttemberg Cooperative State University (DHBW)
Master of Science (M.Sc.), Electrical Engineering/Information Technology, Master of Science (M.Sc.), Electrical Engineering/Information Technology at Technical University Munich
Basic Fitness Trainer, Gesundheit und Sport/Fitness, Basic Fitness Trainer, Gesundheit und Sport/Fitness at BSA Akademie
Contributions:9 commits, 1 PR, 4 comments in 7 days
Contributions summary:Martin primarily focused on refining the `pmu-tools` project, an Intel PMU profiling tool. They made several changes related to standard deviation calculations and output formatting within the `tl_uval.py` and `tl_output.py` files. They also made changes to the core logic in `toplev.py`, including changes related to how measurements and absolute values are computed. These changes suggest a focus on improving the accuracy and clarity of performance measurements.
Contributions:280 commits, 1 PR, 6 pushes in 1 year 5 months
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