Andrew Vaughan

Machine Learning Engineer at Two Dots

Los Angeles, California, United States
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Summary

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Rockstar
🎓
Top School
Andrew Vaughan is a machine learning engineer with 11+ years building production AI systems across startups and enterprise, currently architecting vision-language models to automate income verification workflows. He has led teams at Mailchimp delivering content generation, recommender and multimodal models with a focus on generative AI safety, and previously built vision and NLP fraud-detection and quality-control systems at Stanley Black & Decker and Pindrop. Comfortable moving ideas from DARPA-funded research and embedded sensor prototypes to scalable cloud deployments, he blends signal-processing roots (MSEE, Georgia Tech) with hands-on production experience. Known for on-site proof-of-concept work and mentoring aspiring data scientists, he pairs rigorous mathematical training with a pragmatic track record of turning complex data into fast, reliable products.
code11 years of coding experience
job15 years of employment as a software developer
bookMSEE Systems and Controls Engineering, MSEE Systems and Controls Engineering at Georgia Institute of Technology
bookBS Physics, BS Physics at University of Florida
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Stackoverflow

Stats
279reputation
21kreached
8answers
0questions
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Github Skills (29)

hugo10
datadog10
documentation10
python8
monitoring8
devops8
javascript7
agent7
dd7
ruby-on-rails6
amazon-ec26
metric6
amazon-web-services6
ruby6
anomaly-detection6

Programming languages (5)

JavaScriptRoffRubyPythonDart

Github contributions (5)

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avaughan89/Beacon

Feb 2015 - Feb 2015

Contributions:45 commits, 4 PRs, 14 pushes in 11 days
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Contributions:10 pushes in 11 years 3 months
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