Taylor Dahlke

Senior Computer Vision Algorithm Engineer at Hivemapper

Palo Alto, California, United States
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Summary

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Taylor Dahlke is a Senior Computer Vision Algorithm Engineer with eight years of experience building perception, 3D reconstruction, and robotics systems from Palo Alto. With advanced degrees from Stanford and a BS from UC Berkeley, Taylor blends academic depth with hands-on product work at Hivemapper, focusing on inversion techniques and machine learning to improve scene understanding. He contributes to notable open-source projects like openMVG, improving documentation and adding fisheye camera support—evidence of both technical rigor and attention to clarity. Taylor excels at turning research ideas into production-ready reconstruction and classification pipelines and enjoys mentoring teams to tackle hard perception problems.
code8 years of coding experience
bookBachelor's degree, Bachelor's degree at UC Berkeley College of Engineering
bookMaster’s Degree, Master’s Degree at Stanford University
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Github Skills (4)

documentation10
computer-vision9
3d-reconstruction8
photogrammetry7

Programming languages (5)

TypeScriptShellC++CPython

Github contributions (5)

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openMVG/openMVG

Aug 2019 - Oct 2021

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
Role in this project:
userTechnical Writer
Contributions:6 commits, 6 PRs, 3 comments in 2 years 2 months
Contributions summary:Taylor primarily contributed to the documentation of the openMVG library. Their commits focused on updating and correcting the `ComputeStructureFromKnownPoses.rst` documentation, including spell-checking and other minor text revisions. Additionally, the user made changes to `main_openMVG2Colmap.cpp`, adding FishEye camera support and updating the documentation related to it. These contributions suggest a focus on clarifying and enhancing the library's documentation.
structure-from-motionopenmvgphotogrammetry3d-computer-visionvision
Hivemapper/deepDSO

Jan 2021 - Apr 2021

Contributions:11 reviews, 3 PRs, 37 pushes in 3 months
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