German Ruiz is a CTO and software leader with over a decade of hands-on experience designing distributed applications, building global remote teams, and scaling cloud-native infrastructure. With an MBA from NYU and a long tenure at IBM leading the Developer Experience for Watson, he blends product-minded technical leadership with deep expertise in Node.js, Java, Python, Kubernetes and ML-enabled services. He has a strong open-source track record improving SDKs, CI/CD and sample apps across the Watson ecosystem—often driving both front-end UX fixes and backend/DevOps automation. At Moveo.ai he now defines technology strategy and talent culture, pairing strategic vision with the pragmatic judgment of an engineer who still ships code. An under-the-radar strength is his repeated role bridging developer-facing tooling and production systems, making APIs genuinely easy to consume.
11 years of coding experience
15 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at NYU Stern School of Business
Engineer’s Degree Computer Science, Engineer’s Degree Computer Science at Universidad Nacional del Centro de la Provincia de Buenos Aires
:snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
Role in this project:
Backend & DevOps Engineer
Contributions:21 releases, 294 commits, 149 PRs in 4 years 3 months
Contributions summary:German contributed to fixing Travis CI configurations, adding code coverage, and resolving Python 3 compatibility issues. They also made changes to the `setup.py` file, including converting the README.md file for publishing new versions, and bumped versions of the library. These changes indicate a focus on improving the build process, testing, and overall project maintainability within the context of an IBM Watson SDK in Python.
:camera: Sample Node.js Application for the IBM Watson Visual Recognition Service
Role in this project:
Back-end Developer
Contributions:4 releases, 327 commits, 197 PRs in 4 years 1 month
Contributions summary:German implemented a Node.js application for the IBM Watson Visual Recognition Service, focused on providing visual content insights through image analysis. Key changes included the adoption of the nodejs-wrapper library and refactoring the code. The user also modified the application's user interface by updating the CSS styles for the user experience.
watsonnode-jscamerajavascriptrecognition
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