Andrew Byrd is a senior consultant and software-minded transportation planner with 16 years of experience building distributed, cloud-native systems for urban mobility and access-to-opportunity analysis. He co-founded Conveyal and led architecture and methodology for a global, distributed urban analysis platform, translating complex transport models into practical planning tools. A long-time core contributor and former chair of the OpenTripPlanner project, his open-source work underpins official journey planners used across Nordic countries and U.S. regions. Technically fluent in back-end engineering, combinatorial optimization and high-performance geospatial computation, he has contributed durable fixes to projects like the Jenkins GitHub plugin and OpenTripPlanner’s data integration. Based in Hong Kong and schooled in both computer science and urban planning, he combines rigorous academic training with entrepreneurial product delivery. He often bridges the unexpected gap between algorithmic research and production-ready tooling, making advanced accessibility analysis usable at interactive speeds.
16 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Portland State University
Master's degree, Urban Planning (Mobility and Transport), Master's degree, Urban Planning (Mobility and Transport) at École nationale des ponts et chaussées
Contributions:3 releases, 317 reviews, 3716 commits in 12 years 1 month
Contributions summary:Andrew's commits focus on adding functionality to fetch NED (National Elevation Dataset) tiles from an AWS S3 bucket using a JSON configuration, indicating a focus on backend development and data integration. The user also implemented a system for marking and removing trips, suggesting work on the application's core data processing and management. The changes also involve modifying the handling of transfers, with added code to manage how to account for multiple trip patterns, highlighting a strong understanding of the underlying algorithmic processes.
Contributions summary:Andrew primarily focused on improving the functionality and robustness of the `GitHubRepositoryName` class within the Jenkins GitHub plugin. Their commits involved adding logging statements for debugging, adding new patterns to parse URLs, and implementing unit tests to improve the code's reliability, specifically around handling trailing slashes and malformed URLs. Furthermore, the user added whitespace trimming to handle different URL formatting edge cases. These changes improved the plugin's ability to correctly parse GitHub repository URLs.
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