Gary Cohen is a Senior Economist at Amazon with 11 years of experience blending rigorous economic research and data science to solve product and policy questions in the tech sector. He holds a PhD in Economics from Cornell and is fluent in Python, R, SQL, and Stata, enabling him to move seamlessly from causal inference and microeconometrics to production-ready analyses. Based in Seattle, he pairs academic depth with hands-on engineering skills—evident from open-source DevOps contributions automating Kubernetes and AWS App Mesh deployments. His work style emphasizes reproducible, scalable pipelines that translate complex models into operational insights for large-scale services. Colleagues rely on him to bridge the gap between research rigor and practical implementation across multidisciplinary teams.
11 years of coding experience
Doctor of Philosophy (PhD), Economics, Doctor of Philosophy (PhD), Economics at Cornell University
Bachelor of Arts (B.A.), Economics, Mathematics, Bachelor of Arts (B.A.), Economics, Mathematics at Oberlin College
AWS App Mesh is a service mesh that you can use with your microservices to manage service to service communication.
Role in this project:
DevOps Engineer
Contributions:15 commits, 7 PRs, 3 pushes in 6 months
Contributions summary:Gary's commits primarily involve scripting and configuration related to deploying and managing an application within an AWS App Mesh environment. The contributions focus on automating tasks with shell scripts, including certificate generation, injector setup, and cleanup procedures. The user demonstrates expertise in deploying and managing Kubernetes resources, configuring AWS App Mesh components, and configuring logging.
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