Matthew Cavener
Software Engineer 2 at divvyDOSE
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolMatthew Cavener is a software engineer with 11 years of experience building production-grade systems across .NET, TypeScript, Python, and cloud-native platforms. Currently at divvyDOSE, he designs REST APIs and ETL functions that turn order data into actionable customer insights, and previously helped Nike generate synthetic test data to improve self-service tooling. His background spans startups and enterprise teams—improving chatbots with data scientists at Carvana, shipping customer-facing web apps on Kubernetes at Nextiva, and automating in-store systems at 7-Eleven—grounded in a physics BS and hands-on research in spectroscopy. Known for a curious, experimental approach, he pairs analytical rigor from scientific research with pragmatic engineering to solve messy, real-world data problems. Based in Portland, Oregon, he thrives at the intersection of data engineering and backend development, often bridging domain knowledge and scalable implementation.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Oklahoma State University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
gdextension3
yaml3
bert3
parser2
serializer2
godot2
inference2
sentiment-analysis2
Programming languages (3)
Github contributions (5)
matthew-cavener/my-bert-is-too-big
Sep 2019 - Jan 2020
Doing Knowledge Distillation on BERT because the inference time is too damn high!
Contributions:8 commits, 10 PRs, 16 pushes in 4 months
bertinference
matthew-cavener/sentiment-analysis
Jun 2019 - Jun 2019
Sentiment analysis stuff.
Contributions:19 commits, 10 PRs, 14 pushes in 4 days
sentiment-analysis
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.