Matthew Dawkins
Staff R&D Engineer, Project Manager at Kitware Inc.
Town of Clifton Park, New York, United States
Summary
👤
Senior🎓
Top SchoolMatthew Dawkins is a Staff R&D Engineer and project manager with 12 years of experience specializing in software engineering, deep learning, computer vision, and embedded systems. Based at Kitware, he blends hands-on algorithm research with product-focused development, notably improving core feature-tracking algorithms in the TeleSculptor aerial photogrammetry project. He holds a Master’s in Computer Science and a Bachelor’s in Computer and Systems Engineering from Rensselaer Polytechnic Institute, both completed with strong GPAs. Matthew is fluent in translating complex image-analysis and DSP concepts into maintainable back-end code and production-ready systems. Colleagues rely on him to bridge research and engineering, delivering robust implementations that scale from embedded devices to large photogrammetry toolchains. He often pairs academic rigor with practical refactoring work, improving code readability and long-term project health.
12 years of coding experience
Master's Degree, Computer Science, 3.7 / 4.0, Master's Degree, Computer Science, 3.7 / 4.0 at Rensselaer Polytechnic Institute
Github Skills (10)
c-language10
cprogramming-language10
photogrammetry10
cplus9
cpp9
algorithm9
algorithms9
refactoring8
image8
imagery8
Programming languages (5)
Github contributions (5)
Kitware/TeleSculptor
Feb 2014 - Jan 2015
TeleSculptor: Aerial Photogrammetry Application powered by KWIVER
Role in this project:
Back-end Developer
Back-end DeveloperContributions:219 commits, 1 PR in 10 months
Contributions summary:Matthew focused on modifying and restructuring core back-end features related to feature tracking. They refactored existing code, fixed spacing issues, and normalized statements to improve code readability and maintainability within the Maptk codebase. The changes mainly involved algorithms for tracking and matching features in aerial imagery, directly influencing the core functionality of the TeleSculptor application. These changes reflect the importance of core feature tracking algorithms within this photogrammetry application.
kitwarephotogrammetryc-plus-plusimage-processingaerial-imagery
VIAME/mmcv
Apr 2019 - Nov 2024
Open MMLab Computer Vision Foundation
Contributions:32 pushes, 9 branches in 5 years 8 months
structure-from-motionvisiondeep-learningcomputer-visionfoundation
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