Kyle Mann is a GIS software engineer with seven years of experience building cloud-native, distributed systems for point cloud and LiDAR data, currently designing cloud resource management and deployment tooling at Hobu, Inc. He writes production C++ back-end code and full-stack tooling in TypeScript/Node and Python, almost exclusively on Unix/Linux, and has contributed PDAL support for Esri I3S/SLPK and Google Draco readers/writers. Kyle blends hands-on open-source development with practical cloud architecture expertise—Terraform, CloudFormation, and platform-specific deployment patterns—helping teams avoid common pitfalls when operating large-scale point cloud pipelines. He has a background in computer engineering from Western Michigan University and a proven track record of independently delivering prototypes to production-grade systems.
7 years of coding experience
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Western Michigan University
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
Role in this project:
Back-end Developer
Contributions:25 reviews, 10 commits, 28 PRs in 4 years 4 months
Contributions summary:Kyle primarily worked on implementing and improving the i3s and SLPK readers within the PDAL library. Their contributions involved adding support for reading and processing point cloud data from I3S and SLPK formats, including handling geometry, attributes, and spatial references. They also focused on optimizing the data processing pipeline, specifically through the implementation of bounds computation for query filtering and improvements to how the spatial reference is handled. Additionally, the user made changes to integrate a draco reader and writer.
Contributions:10 releases, 16 reviews, 85 PRs in 1 year 6 months
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