Daniel Dowler
AI Sr. Specialist Solutions Architect at Red Hat
Orem, Utah, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Dowler is an AI and MLOps specialist with 11 years of experience architecting and shipping production GenAI and machine learning platforms for enterprise clients. Currently an AI Senior Specialist Solutions Architect at Red Hat, he has led cross-functional teams to deliver Kubeflow-based pipelines, feature stores, and GenAI MVPs highlighted at industry events like Google Next. Daniel focuses on reducing risk and cost while unlocking business value from LLMs, vector DBs, and automated ML workflows, blending hands-on engineering with presales and platform strategy. His background spans cloud-native MLOps implementations that cut deployment times from months to weeks and innovative time-series and document automation solutions for clients in finance, healthcare, retail, and energy. He pairs an academic foundation in math and data science with practical product delivery, and habitually translates complex ML research into auditable, production-grade systems.
11 years of coding experience
11 years of employment as a software developer
Master of Information and Data Science (MIDS), Data Science, Machine Learning, Data Visualization, Master of Information and Data Science (MIDS), Data Science, Machine Learning, Data Visualization at University of California, BerkeleyMaster's degree, Mathematics, Master's degree, Mathematics at Brigham Young University
Spanish, Korean
Github Skills (56)
kubernetes10
feature-store10
data-quality10
python10
data-science10
data-engineering10
kubeflow10
big-data10
tekton10
machine-learning10
model-management10
kedro10
mlops10
ai10
pipeline10
Programming languages (4)
Github contributions (5)
dandawg/feast
Aug 2024 - Mar 2025
The Open Source Feature Store for Machine Learning
Contributions:24 pushes, 17 branches in 7 months
dandawg/pipelines
Jan 2025 - Mar 2025
Machine Learning Pipelines for Kubeflow
Contributions:35 pushes, 26 branches in 2 months
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