Joseph Greene
Director at Capital Technology Group
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJoseph Greene is a Principal Machine Learning Engineer based in Seattle with eight years building and scaling ML systems at Amazon and AWS and now leading enterprise AI programs at Capital Technology Group. He specializes in massive-scale ML services and productionizing generative and classification models—think Titan Labs, Bedrock/AWS Titan, Amazon Go’s Just Walk Out, and Halo—bridging research prototyping and reliable, cost-saving production deployments. Comfortable across Python and Kotlin, he combines full-stack engineering chops with product discovery experience, having taken greenfield security-analytics work from concept to SVP-level presentations. He also mentors engineers and has a hands-on networking background, which informs his pragmatic approach to system reliability and operational scaling.
9 years of coding experience
8 years of employment as a software developer
Associate of Science (A.S.), Network Technology, Associate of Science (A.S.), Network Technology at Delta College
Github Skills (65)
python10
amazon10
web-application9
aws-sdk-java-v29
machine-learning9
aws-sdk9
machine-learning-algorithms8
fastai8
aws8
hidden-markov-model8
maintenance-mode8
java8
ghost8
nodejs8
cms7
Programming languages (9)
Github contributions (5)
ClydeMachine/clydemachine.github.io
Dec 2019 - Feb 2025
Contributions:181 pushes in 5 years 2 months
jgreenemi/Parris
Dec 2017 - Jan 2018
Parris, the automated infrastructure setup tool for machine learning algorithms.
Contributions:62 commits, 2 PRs, 14 pushes in 1 month
machine-learning-algorithms
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