Dan Avery
Systems Architecture Research In Machine Learning at Independent Research
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolDan Avery is a systems architect and engineer in San Francisco with 13 years building data-intensive platforms, APIs, and large-scale systems across healthcare, civic tech, and web archiving. He now conducts independent ML research focused on audio processing, NLP, and transformer interpretability, including a novel K-means spectrogram tokenization and tools to trace information flow through attention layers. Previously he led product and engineering teams to ship cloud-native Rails systems at startups and optimized data visualization and contract-testing prototypes during a migration at One Medical. His career blends hands-on implementation—from iOS apps to web crawlers—with product leadership that contributed to a startup acquisition and widely used archiving infrastructure. Colleagues describe him as equally comfortable mapping complex domain data into intuitive UIs as he is probing model decision-making with custom analysis tooling.
13 years of coding experience
9 years of employment as a software developer
BA Echols Interdisciplinary Studies, BA Echols Interdisciplinary Studies at University of Virginia
Stackoverflow
1reputation
0reached
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Github Skills (18)
ruby10
linux9
mapper9
homebrew9
macos9
package-manager9
typescript8
microsoft7
electron7
vscode-extension7
vscode7
editor7
visual-studio6
visual-studio-code6
api5
Programming languages (3)
Github contributions (5)
danavery/attention-encodings
Jan 2024 - Nov 2024
Contributions:35 pushes, 2 branches in 9 months
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