Zach Williamson is an embedded software engineer with 11 years of experience specializing in GPS receivers and signal processing, currently applying anti-jamming and advanced processing algorithms at BAE Systems/Collins Aerospace in Cedar Rapids. A University of Iowa electrical engineering graduate, he blends hands-on firmware development with a research background using LLVM/Clang to optimize scientific imaging toolchains. Zach has contributed to the well-known Insight Toolkit (ITK), refactoring its module dependency system and introducing PRIVATE_DEPENDS to streamline linking and legacy C++11 support—an uncommon intersection of embedded systems and open-source scientific computing. Colleagues know him for turning algorithmic complexity into reliable, deployable code across airborne and ground platforms.
11 years of coding experience
7 years of employment as a software developer
Electrical Engineering, Graduate, Electrical Engineering, Graduate at University of Iowa
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Role in this project:
Back-end Developer & Software Architect
Contributions:12 commits, 1 comment in 1 year 2 months
Contributions summary:Zach's contributions primarily involve refactoring and enhancing the ITK library's core functionalities. They focused on improving the module dependency system, consolidating dependencies, and introducing the `PRIVATE_DEPENDS` concept to optimize linking. Further contributions include updates to the linking macros and the implementation of C++11 fixes to accommodate legacy systems. The user has also worked on adjusting various itk-module.cmake files to incorporate these changes and maintain the library's structure.
Contributions:1 PR, 5 pushes, 3 branches in 1 year 5 months
insight-toolkitmachine-learningdata-science
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Zach Williamson - Software Engineer at BAE Systems, Inc.