Graeme Yeates is a Senior Software Engineer with 13 years of experience building scalable, real-time systems and rich front-end tooling from Waterloo, Ontario. He has designed fleet-scale mapping and telemetry for autonomous vehicles at OTTO Motors and led migrations and performant mapping stacks (Leaflet → OpenLayers) while at Clearpath, showing a rare blend of geomatics domain knowledge and practical UI/UX engineering. A prolific open-source contributor, Graeme has improved core JavaScript utilities and libraries—contributions span Underscore/Lodash, Backbone, Ramda, Ant Design, and Paper.js—demonstrating deep familiarity with both core algorithmic optimizations and theming/UX concerns. He mentors engineers, drives performance audits that enabled hundreds-of-vehicle scale, and regularly tackles tricky edge cases (e.g., string comparison algorithms, Levenshtein optimizations, and robust ROS topic handling). Comfortable across full-stack concerns, he pairs rigorous testing and CI improvements with pragmatic releases that matter to product teams.
13 years of coding experience
11 years of employment as a software developer
Honours Geomatics, Honours Geomatics at University of Waterloo
Contributions:7 releases, 240 commits, 159 PRs in 2 years 8 months
Contributions summary:Graeme contributed significantly to the `caolan/async` repository, focused on adding functionality to the library's core. They implemented features such as `_reject` via `_filter` and `series` via `_parallel`, improving the functionality of async control flow methods. They also improved the efficiency of various operations within the library. The changes primarily involved modifications to the core logic and algorithm implementations.
Contributions:173 commits, 104 PRs, 118 pushes in 2 years 11 months
Contributions summary:Graeme primarily contributed to the core functionality of the Underscore.js library, focusing on improvements to existing functions and adding new features. They refactored and optimized methods like `_.max`, `_.min`, and `_.result`, using more efficient implementations. The user also addressed various edge cases and implemented enhancements to existing methods.
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