Ollin Bohan

Independent Researcher

Redmond, Washington, United States
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Summary

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Rockstar
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Ollin Bohan is an independent researcher and former NVIDIA deep learning scientist with a decade of experience building and debugging DNNs for autonomous vehicles and real-time, on-device generative models. Based in Redmond, WA, he combines applied research rigor from NVIDIA’s AV teams with hands-on model engineering focused on low-latency, device-constrained inference. An active open-source contributor and maintainer, Ollin has improved scikit-image documentation and produced projects like sdxl-vae-fp16-fix and experiments in DNN-driven emulation, signaling both practical tooling skills and playful technical curiosity. He also has a strong teaching background from multiple TA roles at the University of Washington, where he helped run large undergraduate courses and course infrastructure. This mix of production ML, open-source stewardship, and education makes him adept at translating research into maintainable, performance-oriented code.
code10 years of coding experience
job7 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Washington
languagesEnglish
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Stackoverflow

Stats
2,336reputation
133kreached
81answers
0questions
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Github Skills (12)

computer-vision10
python10
image-processing10
documentation10
displays9
html6
css6
opencv6
shell6
bash6
javascript6
sed6

Programming languages (8)

C++CSSRustJavaScriptSwiftJupyter NotebookMarkdownPython

Github contributions (5)

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scikit-image/scikit-image

Sep 2019 - Sep 2019

Image processing in Python
Role in this project:
userTechnical Writer & Code Maintainer
Contributions:5 commits, 1 PR in 1 day
Contributions summary:Ollin primarily focused on improving the documentation and code clarity within the `scikit-image` repository. Their contributions involved clarifying docstrings for the `corner_peaks` function, which included warnings related to parameter usage. Furthermore, the user addressed PEP 8 style issues and reorganized the function's documentation by moving specific notes to the designated "Notes" section. These changes suggest a focus on enhancing the readability and maintainability of the codebase.
image-processingpythoncomputer-visionimage
madebyollin/emojin

Jul 2016 - Jul 2017

Contributions:20 commits, 19 pushes, 3 branches in 1 year
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Ollin Bohan - Independent Researcher