Joseph Greene
Principal Machine Learning Engineer 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.
8 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 (79)
python10
collections10
amazon10
web-application9
deep-learning9
machine-learning9
aws-sdk9
nodejs9
sdk8
text-based8
javascript8
panda3d8
markov8
aws8
hidden8
Programming languages (9)
Github contributions (5)
ClydeMachine/clydemachine.github.io
Dec 2019 - Feb 2025
Contributions:181 pushes in 5 years 2 months
jgreenemi/BunAlert
Aug 2017 - Aug 2019
Based on XKCD webcomic #1871, this is an alert system, relying on AWS SNS, to notify subscribers of the existence of a Bun.
Contributions:30 commits, 1 PR, 19 pushes in 2 years
alertaws-snsxkcdexistencesns
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