Jules Calderon

About the Author

Jules Calderon is a pioneering technologist and author specializing in the intersection of machine learning, real-time data processing, and cloud-native architectures. With over a decade of experience in software engineering and AI deployment, Calderon has worked with leading tech firms to build scalable systems that power modern applications. In his acclaimed book, BUILDING ML INFERENCE PIPELINES WITH NUMAFLOW: REAL-TIME AI ON KUBERNETES: Deploy Anomaly Detection, Streaming Analytics and AIOps with Serverless Event Processing, he demystifies the complexities of deploying AI models in production environments using Kubernetes and Numaflow. Calderon's practical insights and hands-on tutorials make advanced concepts accessible to developers and data scientists alike, empowering them to harness the full potential of streaming analytics and AIOps. Beyond writing, he contributes to open-source projects and speaks at global conferences on the future of serverless AI.