Mobile AI Engineer · Computer Vision & On-Device AI
I bring computer vision and deep learning into iOS and Android apps, with inference running on the device.
- Mobile AI: computer vision and deep learning models integrated into native apps, with on-device inference (Core ML, ONNX Runtime) and video pipelines (MediaPipe, OpenCV).
- Cross-platform mobile: Kotlin Multiplatform, Swift, React Native and Flutter, from UI to CI/CD.
- 10+ apps shipped, including Sapio (60,000+ downloads).
- Bachelor in AI and Big Data, MSc at EPITA. Based in France.
| Role | Highlights | |
|---|---|---|
| AI-Stroke | Mobile AI Engineer | Stroke detection app for first responders: on-device computer vision on filmed exercises, Kotlin Multiplatform and Swift |
| Thetyslab Studio | React Native Developer | UI and Rive animations for Sapio (60,000+ downloads), CI/CD for Android and iOS |
| Fraktal Group | Flutter Developer | Candidate, company and trainer portals; created the public package flutter_flag_selector |
| Chips Analytics | React Native Developer | Healthcare apps for patients and providers, FHIR/HL7 APIs |
flutter_flag_selector: country picker for Flutter with SVG flags, ranked search, 20 languages and four display modes. Live demo.
EduTrack: school management for admins, teachers and students. Flutter, Firebase.
|
Modéa: fashion e-commerce app with catalog, product pages and cart. Flutter.
|
WeeChax: real-time chat with Firebase Auth and Firestore. Flutter.
|
MediScanAI: clinical risk screening for doctors, with patient follow-up, guided data entry and explained risk scores. Flutter.
|
ARMS Red Team: teaching exercise on AI compliance. Five AI agents run simulated reconnaissance and attacks, then an EU AI Act audit and risk scoring. Python, Agno. More on dissangkevin.work.
Mobile · Kotlin Multiplatform, Swift, React Native, Expo, Flutter, Dart
AI · PyTorch, ONNX Runtime, Core ML, MediaPipe, OpenCV, LLM agents
Backend · Python, FastAPI, Flask, Node.js, Firebase, MongoDB, Docker