Managing AI Developer (Cognitive Analytics) at IBM
Washington, District of Columbia, United States
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Summary
👤
Senior
🎓
Top School
Jordan Fischer is a Managing AI Developer and Solutions Architect at IBM’s public service division with a decade of experience building production-grade AI and cloud-native systems. Based in Washington, D.C., he blends hands-on engineering with architecture leadership, focusing on cognitive analytics and pragmatic AI delivery for government clients. Jordan is an active open-source contributor to cloud build tooling—most notably contributing backend and DevOps improvements to the Shipwright project for Kubernetes-native container image builds, including test coverage and ClusterBuildStrategy support. He pairs rigorous business training from Wharton and George Washington with international study at Nankai and Oviedo, enabling a global, cross-disciplinary approach to solving complex systems problems. Colleagues describe him as relentlessly curious—his GitHub motto, "Impossible is Nothing!", reflects a preference for tackling thorny integration and automation challenges end-to-end.
10 years of coding experience
Universidad de Oviedo
Nankai University
The University of Utah
Certificate, Certificate at The Wharton School
Masters of Science, Masters of Science at The George Washington University - School of Business
Shipwright - a framework for building container images on Kubernetes
Role in this project:
Backend & DevOps Engineer
Contributions:1 release, 116 reviews, 48 commits in 1 year 1 month
Contributions summary:Jordan primarily contributed to the development and testing of the Shipwright build framework, focusing on Kubernetes-based container image building. They implemented unit tests for core functionalities, including generating Tekton TaskRuns, and added support for ClusterBuildStrategy. Additionally, they modified the code related to service account generation, added resource limit support and incorporated features like Git source revision and context directory for build processes. These changes suggest an active role in integrating build automation and refining the build process within the Kubernetes environment.
Knative Application Platform - Keep as simple as possible to the user, leave all complexities to knap
Contributions:2 releases, 21 commits, 19 pushes in 9 days
knativekuberneteskeepapplication-platform
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Jordan Fischer - Managing AI Developer (Cognitive Analytics) at IBM