Armando Santisbon
Solutions Architect at Amazon Web Services
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolArmando Santisbon is a Solutions Architect with 11 years of professional experience and a decade-long tenure at AWS, specializing in software architecture, cloud solutions, and technical leadership. He has a strong foundation in hands-on engineering from early roles as a software engineer and senior architect, and he bridges strategy and execution to deliver production-ready systems. Armando contributes to open-source tooling for AI workflows—most notably improving Docker build and entrypoint scripts for the InvokeAI Stable Diffusion project—demonstrating practical DevOps expertise in containerizing complex ML workloads. Based in Chicago and trained in computer science at Tecnológico de Monterrey, he excels at simplifying operational complexity for teams while mentoring engineers to adopt robust, scalable architectures.
11 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree, Bachelor of Science in Computer Science, Bachelor’s Degree, Bachelor of Science in Computer Science at Tecnológico de Monterrey
English, Spanish, French
Github Skills (12)
linux10
bash10
docker10
dockers10
artificial-intelligence9
image-generation9
generative-art8
cicd8
ai-image8
ai8
stable-diffusion7
python6
Programming languages (9)
Github contributions (5)
invoke-ai/InvokeAI
Sep 2022 - Sep 2022
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:
DevOps Engineer
DevOps EngineerContributions:14 reviews, 48 commits, 1 PR in 11 days
Contributions summary:Armando's contributions primarily focused on setting up and modifying the Docker build process and entrypoint scripts for the InvokeAI project. They made multiple changes to the `entrypoint.sh` script, likely to configure the environment and run the core Stable Diffusion image generation process. The commits also updated the Docker build process with several iterations and merged branches, indicating active management of the build pipeline. These modifications support the project's goal of providing a stable and containerized environment for AI image generation.
serveswebuioutpaintingdiffusionlatent-diffusion
santisbon/emojos
Jan 2023 - Nov 2024
Contributions:86 pushes, 2 branches, 3 comments in 1 year 10 months
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