Porter Zach is a Software Development Engineer I and Georgia Tech CS student (May 2025) with five years of hands-on experience building full-stack, cloud-native systems and applied ML solutions. He has driven measurable impact—speeding internal tools by 80%, delivering an ML upgrade-propensity model worth over $1M, and shrinking manual CDC workflows from months to minutes. His work spans Azure Function Apps, Cosmos DB, NLP, computer vision, and robotics, including documentation and tooling contributions to the widely used GTSAM robotics library and an LLM-based automated docs pipeline. Comfortable leading small teams and modernizing legacy services, Porter combines pragmatic engineering (CI/CD, test coverage, performance tuning) with a knack for making complex research and tools accessible to new users.
5 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Georgia Institute of Technology
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Role in this project:
Full-stack Developer
Contributions:1 review, 14 PRs, 7 pushes in 2 months
Contributions summary:Porter's commits focus on setting up and refining the documentation for the GTSAM library. This involves integrating documentation generation tools, specifically MyST, and ensuring proper linking to Colab resources for interactive tutorials. The user also created and modified documentation files for various GTSAM components like `Pose2`, `Pose3`, and `Rot2`, ensuring the library's usability and accessibility. Additionally, the user contributed to correcting links and headers in the documentation, enhancing the user experience.
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Porter Zach - Software Development Engineer I at iA