Ryan Lowe

Founder & Architect at Microsoft

Rotorua, Bay of Plenty, New Zealand
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Summary

🤩
Rockstar
🎓
Top School
Ryan Lowe is a founder and cloud-native architect with 12+ years building scalable, event-driven systems and AI-driven products for the race industry and enterprise customers. He founded SplitKit, an agentic plugin platform that automates race-day workflows for timing companies, drawing on two decades of hands-on race event product work and relationships from co-founding RaceResults360. His background at AWS (Alexa Skills Kit, Pinpoint/SES) and Microsoft (enterprise AI data foundations) informs a rare combination of voice/agent design, serverless multi-tenancy, and production-grade data engineering focused on trustworthy agent behavior. Ryan is equally fluent in product strategy and hands-on architecture—designing systems where agents replace teams to deliver personalized finisher experiences at near-zero per-event cost. Based in Rotorua, New Zealand, he brings a pragmatic builder’s mindset and deep industry context that makes SplitKit both technically ambitious and tightly aligned to customer workflows.
code13 years of coding experience
job18 years of employment as a software developer
bookMBA, Masters of Business Administration, MBA, Masters of Business Administration at Indiana University - Kelley School of Business
bookBachelors, Major in Computer Science, Minors in Physics and Mathematics, Bachelors, Major in Computer Science, Minors in Physics and Mathematics at Ball State University
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Github Skills (52)

amazon-simple-email-service10
fact9
amazon7
account-linking7
alexa-skills-kit7
aws7
amazon-sagemaker7
hero7
directives6
stateless6
echo6
bit5
audio5
javascript4
console4

Programming languages (5)

C#JavaJavaScriptPHPPython

Github contributions (5)

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Amplify and React web app to preview Amazon Pinpoint templates with real endpoint data.
Contributions:18 commits, 17 PRs, 29 pushes in 1 year 5 months
amplifyreact
This solution combines Amazon Pinpoint with Amazon SageMaker to help automate the process of collecting customer data, predicting customer churn using ML, and maintaining a tailored audience segment for messaging.
Contributions:1 release, 2 pushes, 1 tag in 10 months
amazon-sagemakermachine-learningamazon-pinpointamazon-s3-bucket
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