I'm Alexis, an Android engineer based in Paris.
I have built and continue to build smooth, clear and performant Android apps. My focus is on delivering great UX and UI while keeping the architecture clean and efficient.
Alongside mobile development, I’ve been exploring embedded computer vision — learning how devices can interpret their surroundings directly on-device.
You’ll find examples of both sides (solid Android mastery and experimental computer vision work) in my public repos.
cv.alexiscassion.dev
linkedin.com/in/alexis-cassion
cv@alexiscassion.dev
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| Project | Description | Stack |
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| ConsumerLens | Nutrition & allergen scanner that classifies products as Recommended, Not recommended, or To avoid. | Flutter, Dart |
| WordSearch Solver | Detects and solves printed word-search grids using OpenCV + Tesseract. | Python, OpenCV |
| Resume Site | JSON-driven, bilingual résumé generator with dynamic sections and PDF export. | Alpine.js, HTML/CSS |
| PHYSARUM-Java | Simulation of slime-mold path-finding behaviour inspired by biological systems. | Java, Swing |
*(Other experiments and prototypes are available in my repos.)*
- Strengthening Compose + modern Android architecture
- Building small on-device vision prototypes for different parts of the pipeline (e.g. Optical Flow viewer)