Matt Terry
Software Engineer at Modular
Corvallis, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolMatt Terry is a software engineer with 13 years of experience building scalable ML and data systems, currently focused at Modular after a decade at Nextdoor where he designed core services like the geospatial "Gaia", a multi-framework ML inference service scaled to >15k QPS, and a company feature store. He blends production engineering and research rigor from a prior career in inertial confinement fusion—holding a PhD—bringing strengths in reproducibility, simple robust systems, and rapid learning. An active open-source contributor, he’s improved tooling in projects such as nbviewer, ndscheduler, and scikit-image, often tackling compatibility, correctness, and nuanced algorithmic work like color-difference metrics. Comfortable leading teams or shipping solo, he favors shallow bugs, clear dependencies, and pragmatic automation to accelerate scientific and business outcomes.
12 years of coding experience
10 years of employment as a software developer
MS, Nuclear Engineering, MS, Nuclear Engineering at University of Wisconsin-MadisonBS, Nuclear Engineering, Physics, BS, Nuclear Engineering, Physics at Georgia Institute of Technology
Stackoverflow
4,159reputation
473kreached
29answers
2questions
colors
top-1%
scipy
top-5%
matplotlib
top-5%
python
top-5%
Github Skills (33)
dependency-management10
python10
apscheduler10
image-processing10
scikit-image10
colors10
numpy10
regular-expression10
computer-vision10
jupyter9
testing9
matplotlib9
data-structure9
scipy9
algorithm9
Programming languages (7)
Github contributions (5)
Nextdoor/ndscheduler
Nov 2018 - Nov 2018
A flexible python library for building your own cron-like system, with REST APIs and a Web UI.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 21 commits, 9 PRs in 1 day
Contributions summary:Matt focused on dependency management and ensuring compatibility within the `ndscheduler` project. They addressed dependency pinning, specifying version ranges for libraries like APScheduler, SQLAlchemy, tornado, and future. Further work included correcting spelling errors and resolving Python version compatibility issues, specifically removing support for Python 3.7, showcasing a focus on maintaining a stable and functional library.
python-libraryapipythonweb-uiasyncio
scikit-image/scikit-image
Jul 2013 - Aug 2013
Image processing in Python
Role in this project:Data Scientist
Data ScientistContributions:38 commits in 29 days
Contributions summary:Matt primarily contributed to the development of color distance functions within the `scikit-image` repository. Their work involved implementing different color difference metrics, including CIEDE2000, CIEDE94, and CMC, along with corresponding tests. The user's contributions enhance the library's capabilities for image analysis by providing tools for evaluating color similarity. Documentation improvements and code cleanup were also implemented.
image-processingpythoncomputer-visionimage
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