Freelancer profile translated to English.

Description

I am a mobile developer, with particular expertise in React Native. To a lesser extent, I also have experience in native iOS and Android development (Swift and Kotlin), in web frontend on React, and in backend development on Express and Nest.js.

After graduating from ISAE Supaero in 2016, I had my first professional experience as a VIE at Airbus Helicopters in the United States, for an eighteen-month mission during which I worked in data analysis with the implementation of dashboards for clients for the exploitation of machine maintenance data.

I then continued in mobile development within the BAM.tech agency. It was during this professional experience that I developed my expertise in cross-platform development on React Native.

I carried out a total of 6 missions for different clients, during which I worked on both new projects from scratch and existing ones. Regarding my mobile skills, I had the opportunity to learn to master the React Native framework, including the development of native bridges when client needs required it.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Zeturf
Lead React-Native Developer
ENTERTAINMENT AND LEISURE
January 2021 - Today (5 years and 5 months)
- Development of new features
- Application architecture (React Native)
- Evolutionary maintenance
React Native iOS Android Typescript Jest Unit Tests
Bam.tech
Architect Developer
DIGITAL AND IT
November 2018 - Today (7 years and 7 months)
Région de Paris, France
Development of cross-platform mobile apps using React Native with Scrum methodology:

Frontend : React Native, ReactJS, TypeScript, Jest
Backend : Node.js, Express, NestJS, GraphQL
Typescript React Native React iOS Android NestJs
Airbus Helicopters, Inc.
Analytics & Software Services Engineer
AVIATION AND AEROSPACE
January 2017 - October 2018 (1 year and 9 months)
Région de Dallas/Fort Worth, États-Unis
Data analytics to improve customer support efficiency :
Fleet availability, Out of service root causes, Maintenance forecast
Framing usecases with targeted users and coding analysis, using :
- R & Python (Panda + scikit-learn library)
- Tibco Spotfire for Data Viz publications (dashboards)