Matt Wilber
Senior Software Engineer II at Spring Health
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMatt Wilber is a Senior Software Engineer with a decade of experience building scalable ML and infrastructure systems, currently applying ML Ops and Responsible AI at Spring Health in Seattle. He has driven measurable CI/CD improvements at Microsoft—cutting PR and CI build/test times by a third—while also training transformer models for web-scale retrieval and diagnosing embedding anisotropy. His background spans cloud-native ML platforms (GPU autoscaling on EKS), large-scale data engineering (Spark pipeline optimization and autoscaling), and production ML serving in healthcare contexts. A pragmatic engineer and test-automation advocate, he has strengthened open-source tooling like CornellNLP’s ConvoKit by hardening its test suite and CI behavior. He holds a CS master’s from Cornell and a math degree from Harvey Mudd, combining strong theoretical grounding with production-hardened delivery.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Mathematics, 3.665, Bachelor’s Degree, Mathematics, 3.665 at Harvey Mudd CollegeMaster's degree, Computer Science, Master's degree, Computer Science at Cornell University4.0 GPA, 4.0 GPA at Buffalo Grove High School
English, Japanese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
unit-testing10
python10
test-automation10
pytest9
nlp7
machine-learning6
conversations5
conversation5
datasets4
Programming languages (5)
Github contributions (5)
CornellNLP/ConvoKit
May 2020 - Jun 2020
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:19 commits, 11 PRs, 9 comments in 1 month
Contributions summary:Matt primarily contributed to the testing infrastructure of the ConvoKit toolkit. Their commits focus on adding and improving unit tests, specifically for the `TextParser` and `TextCleaner` modules. They also implemented a mechanism to ensure tests fail with a non-zero exit code, demonstrating a focus on test suite reliability and integration. The user's work strengthens the project's robustness and maintainability.
nlpanalyzingconversationalconversational-aidataset
mwilbz/ctf
Dec 2019 - Dec 2019
Contributions:17 commits, 16 pushes, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.