Andrew Cooley
GenAI Field Solutions Architect at Google
Dallas, Texas, United States
Summary
👤
Senior🎓
Top SchoolAndrew Cooley is a GenAI Field Solutions Architect with eight years of hands-on experience designing and deploying data + AI solutions across cloud platforms, now advising strategic pursuits at Google Cloud from Dallas. He has a strong track record leading LLM, LLMOps, and MLOps initiatives for Fortune-scale retail and telecom customers, including driving material GCP AI/ML consumption growth and supporting $1B+ enterprise commitments. Prior roles at Databricks and AWS highlight his ability to translate complex ML research into reproducible, production-ready architectures and reusable assets for global field teams. He blends deep technical fluency in cloud-native stacks (Vertex AI, SageMaker, Databricks, Delta Lake) with sales engineering and pre/post-sales impact, often serving as the sole ML specialist on large accounts. Notably, he has repeatedly accelerated MLOps adoption at retail customers and led migrations of mission-critical data workloads from on-prem to cloud data platforms. He combines practitioner-level engineering with strategic customer-facing influence, making him effective at moving pilots to scale.
8 years of coding experience
6 years of employment as a software developer
BBA Management Information Systems, BBA Management Information Systems at Texas McCombs School of Business
Github Skills (3)
amazon-redshift7
amazon6
aws4
Programming languages (1)
Github contributions (5)
amc3777/Databricks-Demos
Jun 2023 - Mar 2024
Notebooks for demonstration of Databricks products and features.
Contributions:28 PRs, 92 pushes, 9 branches in 8 months
amc3777/ml_example
Jul 2019 - Aug 2021
Contributions:4 commits, 11 pushes, 1 branch in 2 years 1 month
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