Kevin Cutler
Software Developer at Government of Canada
Ottawa, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolKevin Cutler is a software developer based in Ottawa with eight years of professional experience building back-end systems for public-sector organizations. He brings a practical engineering background that spans software application development for the Canada Border Services Agency to current work at the Government of Canada, paired with hands-on technical training in electrical trades. A Physics PhD turned image-segmentation enthusiast, Kevin has contributed meaningful fixes and architecture improvements to the well-known Cellpose repository, strengthening core Python modules and model dependencies. He combines rigorous problem-solving from his scientific background with reliable, production-focused coding, and is comfortable working on human-in-the-loop ML tools as well as government software systems.
8 years of coding experience
6 years of employment as a software developer
Algonquin CollegeHigh School Diploma, completed, High School Diploma, completed at Bell High School
Github Skills (6)
pytorch10
python10
machine-learning9
numpy8
opencv7
scikit-image6
Programming languages (13)
Github contributions (5)
MouseLand/cellpose
Jun 2021 - Feb 2022
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 88 commits, 6 PRs in 8 months
Contributions summary:Kevin's commits primarily focused on setting up and modifying the project's `setup.py` file and core Python modules, including `cellpose/core.py`. They made significant changes to the project's dependencies, introduced new libraries like `torch_optimizer`, and added features to the network architecture. Their work also involved updating imports and fixing bugs within the core functionalities of the `cellpose` algorithm, as demonstrated by changes to the main program file.
loophuman-in-the-loopcell-biologycell-segmentationcapabilities
kevinjohncutler/omnipose
Nov 2021 - Jan 2023
Omnipose: a high-precision solution for morphology-independent cell segmentation
Contributions:146 commits, 3 PRs, 338 pushes in 1 year 2 months
pytorchmorphologydeep-learningindependentprecision
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