Thomas Baudier developed an interoperability demo for the deepinv/deepinv repository, connecting the Spyrit and DeepInverse libraries to illustrate single-pixel imaging workflows using linear models. He implemented a self-contained Python script that loads example images, applies image processing transformations, and demonstrates reconstruction methods across multiple algorithms. The demo serves as a reproducible, end-to-end example for users evaluating pixel-imaging pipelines, streamlining onboarding and experimentation. Thomas integrated Spyrit as an optional dependency, improved code quality through linting and configuration updates, and collaborated with co-authors to ensure maintainability. His work reflects depth in Python scripting, image processing, and machine learning within research-oriented codebases.