Matthias Wild
Consultant Cloud Operations & Architektur
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolMatthias Wild is a Cloud Operations & Architecture consultant based in Munich with over a decade of hands-on IT experience and six years focused on cloud and DevOps. Trained as a Fachinformatiker for system integration at Siemens, he progressed from enterprise telecom and client support into PKI/product ownership at TÜV SÜD and later into cloud-native tooling and CI/CD automation. At ARES Consulting he deepened his expertise in Azure DevOps and both Azure and AWS operations, regularly bridging infrastructure, security and developer workflows. He also contributes to open-source AI tooling, improving front-end and image-generation pipelines for the notable InvokeAI project, showing a practical interest in applied ML interfaces. Colleagues know him for turning security-sensitive environments into automated, maintainable platforms while retaining a user-focused perspective from his VIP support roots.
6 years of coding experience
Ausbildung Fachinformatiker für Systemintegration, Ausbildung Fachinformatiker für Systemintegration at Siemens Professional Education
English, French
Github Skills (14)
webui10
javascript10
image-generation10
backend10
python10
back-end-development10
api-design9
front-end-development9
stable-diffusion9
generative-art8
css8
html8
ai-image8
ai8
Programming languages (10)
Github contributions (5)
invoke-ai/InvokeAI
Sep 2022 - Jan 2023
Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:207 reviews, 328 commits, 163 PRs in 4 months
Contributions summary:Matthias's commits primarily involve updates to the front-end and backend components of the InvokeAI web interface. They modified the JavaScript code for the web interface, including functionality for loading and displaying image results, and for seed input from the user interface. Additionally, they updated Python scripts, including adding support for color correction in the image generation process and improving the command-line interface. These changes indicate a focus on both the user experience and the underlying image generation pipeline.
serveswebuioutpaintingdiffusionlatent-diffusion
mauwii/azure-pipelines-with-github-repo
May 2022 - Mar 2023
Playground to find out more about azure-pipelines when used with github repositories
Contributions:2 reviews, 174 PRs, 825 pushes in 9 months
github-repositoriesrepositoriesazure-pipelinesbicepmkdocs-material
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