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Mickael DumandMD

Mickael Dumand

Développeur mobile : expert React Native

800 €/jour
1 projet
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Mickael

I work on the following missions:
- Architecture and application engineering
- Mentoring
- Code reviews
- Hiring
- Performance audit

I mainly work on React and React Native technologies with the following objectives: quality and productivity. Good practices Implementation: unit tests & integration tests, e2e tests

Technical stack:
- AI: Claude code | Cursor with guidelines rules
- React Native | Xcode | Android Studio | Unimodules | expo modules
- Typescript | Babel
- React with hooks
- CI/CD | EAS | Bitrise
- Design System | Unistyles | Restyle
- Jest | react-testing-library | Maestro
- ESLint | Prettier
- GraphQL | Apollo | Hasura
- Backend: Nodejs | Express | SSR - Next | Supabase

Mindset:
KISS: Keep it simple, stupid
FLS: Fail, Learn, Succeed
  • Anglais

    Capacité professionnelle complète

  • Français

    Bilingue ou natif

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Mistral AI
    Mobile Software Engineer - React Native
    juin 2025 - octobre 2025 (4 mois)
    Le Chat app: 2 million downloads on iOS and Android
    Developed the "Think" button, an AI-driven reasoning assistant feature.
    Release process automation for changelog and QA process.
    Développement Mobile Typescript React.js React Native intelligence artificielle
  • SUSH.app
    React Native Software Engineer
    janvier 2023 - janvier 2025 (2 ans)
    Social game app: 4 Million Daily Active Users with <1 % crash rate
    • Listed in Top 10 expo apps in social category. https://evanbacon.dev/blog/expo-2024
    • Increasing revenue by 50% (3K€ to 6K€ daily) with Ads and InApp purchases.
  • Luko
    Staff Mobile Engineer
    janvier 2020 - janvier 2023 (3 ans)
    • Scale the team from 3 to 10 mobile engineers leading best practices. ○ Led migration of a 150K-line codebase from JavaScript to TypeScript, reducing bugs by 20% and improving maintainability ○ 2 weeks Release process and feature flags implementation
    ○ Type generation from backend using graphql-codegen ○ Performance optimisation: reducing bundle size from 14.2 to 7.71 MB
    ○ Design system implementation with visual regression support
    github.com/GetLuko/streamline
    • CI/CD implementation (Gitlab/Bitrise) with E2E tests 78% coverage.
    • Performance and error monitoring maintaining crash rate<1 %
    • From 20K to 100K Monthly Active Users.
    • App store rating from 3.5 to 4.3 on Google and 4.9 on Apple

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Formations

  • DUT Services et Réseaux de communication
    Université Marne la vallée

Compétences

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