Rumi Iharada
WW Gen AI & AI ML Specialized SA at Amazon Web Services (AWS)
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolRumi Iharada is a globally recognized AI/ML solutions architect with 16 years of experience and a strong track record at AWS, where she currently leads WW Gen AI & AI/ML partner engagements. She helps machine learning ISVs such as Databricks, Domino, Dataiku, and H2O integrate with AWS services, architect co-sell solutions, and run global workshops and lead-generation events that scale partner impact. Rumi blends hands-on ML engineering—NLP, SageMaker deployments, and serverless architectures—with strategic go-to-market enablement, having presented large sessions at re:Invent and international summits. She’s an active blogger and open-source contributor who translates complex ML capabilities into practical partner offerings and technical education for SIs like Accenture and Deloitte. Based in Bellevue, WA, she pairs deep technical fluency with proven program leadership to accelerate adoption of cloud-native AI across enterprises.
8 years of coding experience
20 years of employment as a software developer
BS Computing and Software Systems, BS Computing and Software Systems at University of Washington
English, Japanese
Github Skills (17)
amazon9
lambda7
aws-lambda7
amazon-sagemaker7
aws6
machine-learning6
sagemaker6
recommendation-engine6
inference5
recommendation-system4
deep-learning4
recommender-system4
ranking4
lambda-functions2
serverless2
Programming languages (3)
Github contributions (5)
rumiio/sagemaker-rec-engine-demo
May 2019 - Nov 2019
Contributions:26 commits, 25 pushes, 1 branch in 6 months
aws-samples/serverless-ai-workshop
Nov 2018 - Jan 2019
This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker
Contributions:19 commits, 15 pushes in 2 months
sagemakeramazon-sagemakerworkshopaws-lambdaamazon
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