Shelbee Eigenbrode
GenAI ML Specialist Solutions Architect & Data Scientist Leader, Amazon Web Services (AWS)
Denver Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolShelbee Eigenbrode is a GenAI/ML specialist solutions architect and data science leader with 11 years of experience driving AI/ML adoption at enterprise scale, currently leading GenAI and ML specialist architecture at AWS from Denver. She has progressed through senior technical and customer-facing roles at AWS and IBM, blending hands-on engineering, architecture, and customer success to translate complex ML research into production outcomes. Her background spans database and infrastructure roots to enterprise solutions architecture, giving her a rare depth in both systems performance and applied machine learning. Known for helping customers operationalize AI to achieve measurable business value, she excels at pairing technical rigor with pragmatic deployment patterns. A detail not obvious from titles: her career began in DB2 and systems development in the late 1990s, which underpins a long-standing focus on reliability and scalable data architectures that inform her ML solutions today.
11 years of coding experience
22 years of employment as a software developer
Colorado State UniversityWestminster High School
Github Skills (19)
python10
machine-learning-models10
jupyter10
data-science10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
amazon-sagemaker10
mlops10
deep-learning10
aws10
jupyter-notebook10
amazon10
devops8
Programming languages (4)
Github contributions (5)
aws-samples/mlops-amazon-sagemaker
Sep 2019 - Aug 2022
Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker
Contributions:55 commits, 1 PR, 27 pushes in 2 years 11 months
sagemakeramazon-sagemakerdata-sciencedevopsworkloads
seigenbrode/sagemaker-jenkins-byo-scenario
May 2020 - Dec 2020
Contributions:160 pushes, 1 branch in 7 months
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