Rob Vogelbacher
Field Solution Architect - AI Infrastructure at Google
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolRob Vogelbacher is a Field Solution Architect focused on AI infrastructure at Google with a decade of experience designing and delivering high-ROI, production-ready solutions that bridge modern software ecosystems and legacy systems. He has a strong track record leading cross-discipline teams from pre-sales through implementation, previously shaping IoT, analytics, and AI initiatives at IBM and Google customer engineering roles. Equally comfortable in hands-on architecture and strategic customer advocacy, Rob translates complex technical requirements into pragmatic architectures that align IT and business goals. His background in bioinformatics and early CTO work building e-commerce systems gives him a rare blend of data science, cloud, and full-stack operational experience. Based in the Chicago area, he’s known for turning experimental proofs-of-concept into repeatable offerings and capturing field feedback to drive continuous product improvement.
9 years of coding experience
21 years of employment as a software developer
BA, Psychology, BA, Psychology at Davidson CollegeMS, Computer Science, Bioinformatics, MS, Computer Science, Bioinformatics at DePaul University
Github Skills (61)
data-stream10
keras-tensorflow10
kubernetes10
google-cloud-platform10
bigquery10
stackdriver10
dataflow10
data-science10
tekton10
machine-learning10
kubeflow10
sqf10
spanner10
datasets10
kedro10
Programming languages (7)
Github contributions (5)
chiefkarlin/robv-snippets
Dec 2020 - Sep 2024
Contributions:15 pushes, 1 branch in 3 years 9 months
chiefkarlin/pipelines
Nov 2021 - Feb 2023
Machine Learning Pipelines for Kubeflow
Contributions:1 push, 1 branch in 1 year 2 months
data-sciencemachine-learningmlopskedrokubeflow
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