Tony Marquez is a Senior AI Engineer based in Chicago with five years of hands-on experience building and operating production ML and data platforms. He combines deep Linux and datacenter expertise with AWS-native infrastructure skills, having owned production Airflow, Presto, Hive and EMR deployments and implemented blue/green RDS upgrades and autoscaling Kubernetes/CloudFormation workflows. At Glassdoor he moved from DevOps to senior software roles, single-handedly designing a Prodigy deployment system that accelerated model training lifecycles. Now at G-P he focuses on applying that operational rigor to AI systems, bridging model development and reliable, scalable production environments. Known for pragmatic automation and cross-team collaboration, he pairs low-level systems knowledge with a clear focus on reducing downtime and improving engineering velocity.
5 years of coding experience
9 years of employment as a software developer
Computer Engineering, Computer Engineering at Illinois Institute of Technology
Google IT Automation with Python Professional Certificate - Practice files
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