Joaquin Gimenez is a systems engineer with a decade of experience building cloud-native and serverless infrastructure, currently contributing to Cloudflare's Workers AI team in Austin. He pairs hands-on systems and full-stack engineering—spanning GCP, Kubernetes, React, Python, and Protobuf—with a track record of optimizing CI/CD and production deployments for real-time, high-resolution data workloads. Previously he led hybrid cloud and virtualization projects as a CTO-level technologist, delivering notable uptime and cost savings while managing cross-functional teams. Joaquin also has applied ML/NLP research experience and an MS in Management Information Systems, giving him both technical depth and product-focused judgment. Notably, he moved from internships on Cloudflare’s Workers team to production work on Workers AI, reflecting rapid growth into large-scale inference systems.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Management Information Systems General, Master of Science - MS Management Information Systems General at Mays Business School - Texas A&M University
Engineer's degree Computer Science, Engineer's degree Computer Science at Universidad Católica Nuestra Señora de la Asunción
Contributions:10 commits, 13 pushes, 1 branch in 9 months
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