Nate Oostendorp
Founder And CTO at Sight Machine
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolNate Oostendorp is a seasoned founder and CTO with 15 years of experience building high-capacity collaborative web platforms and manufacturing analytics products. He co-founded Slashdot and helped architect SourceForge.net, driving large-scale refactors, ad operations, and community systems that reached tens of millions of users. As founder/CTO of Sight Machine he designs the architecture for Manufacturing Analytics and partners with customers on data-driven solutions, drawing on expertise in ETL, scalability, and performance. His background spans software engineering, interaction design, machine vision, and recommender-system research, with hands-on open source contributions to the SimpleCV computer vision framework. Nate pairs entrepreneurial instincts with academic training (MSI and BS in CS/English) and a long history of launching community-driven projects like Everything2 and PerlMonks. He’s equally comfortable sketching system architecture, shipping core image-processing features, or translating complex data workflows into customer value.
15 years of coding experience
10 years of employment as a software developer
MSI, Information Economics, Management, and Policy, MSI, Information Economics, Management, and Policy at University of Michigan - School of InformationBS, Computer Science and English, BS, Computer Science and English at Hope College
Stackoverflow
24reputation
5kreached
1answer
0questions
Github Skills (11)
algorithm10
data-structures10
algorithms10
computer-vision10
opencv10
python10
data-structure10
image-processing10
testing9
subpixel6
calibration6
Programming languages (2)
Github contributions (5)
sightmachine/SimpleCV
Nov 2010 - Nov 2014
The Open Source Framework for Machine Vision
Role in this project:
Back-end Developer & Machine Learning Engineer
Back-end Developer & Machine Learning EngineerContributions:381 commits in 4 years
Contributions summary:Nate implemented pixel assignment/retrieval and added testing functionality, suggesting a focus on image processing and potentially contributing to the core image manipulation capabilities. They also added feature and feature set classes with corner feature detection, indicating involvement in the development of computer vision algorithms. Furthermore, the user contributed camera class and test. The contributions included enhancing the SimpleCV codebase with new features and testing capabilities.
pytorchpythonvisiondeep-learningcomputer-vision
oostendo/cvblob-python
Mar 2011 - Aug 2014
Contributions:17 commits in 3 years 5 months
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