Daniel Connelly is a Staff Engineer with 14 years of experience building large-scale mapping and search systems, currently working on AI in Maps at Google after a recent Staff Engineer stint at Airbnb. He blends deep systems and spatial-index expertise—evidenced by his open-source rtreego R-Tree library for Go—with a strong track record across Google, Butterfly Network, Teads, and other engineering leadership roles. Comfortable shipping both infrastructure and product-facing features, he has repeatedly led cross-functional efforts to make location-aware search and core maps infrastructure more robust and scalable. Based in Paris but with a long U.S. career, he pairs an applied-mathematics and computer-science background from Georgia Tech with a practical knack for turning spatial algorithms into production services.
14 years of coding experience
14 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Georgia Institute of Technology
Contributions:2 releases, 18 reviews, 133 commits in 10 years 11 months
Contributions summary:Daniel's contributions primarily focused on developing an R-Tree library in Go, as indicated by the commit messages and code changes. The user implemented core data structures and algorithms for spatial indexing, including points, rectangles, distance calculations, and intersection functionalities. Furthermore, they implemented the core insertion and deletion algorithms, along with supporting functions. The development involved writing tests to ensure the correctness of the implemented spatial functions.
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