Stuart Axelbrooke
Principal Machine Learning Engineer at Yobi
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolStuart Axelbrooke is a Principal Machine Learning Engineer in Seattle with over a decade of hands-on experience building production ML and personalization systems across startups and Amazon. He has led relevance and recommendation efforts that drove a $180M revenue lift and reduced returns at Amazon, and now leads engineering for privacy-preserving personalization at Yobi. A serial founder and early ML hire, Stuart has built NLP and customer-insight products used to quantify feedback and drive product roadmaps, and he combines embedded systems roots with modern cloud-scale architectures. He’s comfortable moving from low-level signal processing to large-scale distributed ML pipelines, and he brings a pragmatic focus on measurable business impact alongside technical craftsmanship.
11 years of coding experience
12 years of employment as a software developer
University of WashingtonBS Electrical Engineering, BS Electrical Engineering at Washington State University
Stackoverflow
1reputation
0reached
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Github Skills (200)
dashboard10
parallel10
postgresql10
python10
websocket10
deep-learning10
websockets-client10
parallel-computing10
lxml10
encoding10
byte-pair-encoding10
elasticsearch10
pydata10
pandas10
autoencoder10
Programming languages (12)
Github contributions (5)
soaxelbrooke/stuart.axelbrooke.com
Oct 2017 - Mar 2023
Contributions:19 pushes, 1 branch, 2 issues in 5 years 5 months
soaxelbrooke/twitter-customer-support-collector
Oct 2017 - Nov 2018
Contributions:83 commits, 73 pushes, 1 branch in 1 year 1 month
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