Xavier Edo is a cloud-native infrastructure and AI engineer with nine years of experience building scalable production systems and developer-facing platforms. Currently on the Genkit core team, he designs integrations and plugins that make generative AI apps production-ready while shaping extensible, clean APIs for developer workflows. Previously he led cloud infrastructure at Voiceflow—owning reliability, security (SOC II/ISO27001 readiness), data pipelines and developer tooling across multi-cloud environments using Terraform, Kubernetes, Golang and TypeScript. He blends hands-on engineering with developer advocacy, delivering workshops, talks and real-world examples to accelerate adoption of complex frameworks. An academic collaborator (Princeton) on conversational AI research and recognized across ecosystems (AWS Alexa Champion, GDE in ML, GitHub Star, Microsoft MVP), he uniquely straddles applied ML, platform engineering and community impact. Colleagues rely on him to translate research-grade ML and voice tech into robust, operable products.
9 years of coding experience
10 years of employment as a software developer
Degree in Computer Science and Engineering, computation, Degree in Computer Science and Engineering, computation at Universidad Complutense de Madrid
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