Mathieu is a Senior Full-stack Developer and Product Engineer with 10+ years of IT experience designing, developing, and managing cloud apps. He is proficient in modern technologies like Node.js, React, Angular, TypeScript, and AWS. As a technology leader, Mathieu has had an overall vision to build the best possible tools adapted to user needs collecting a large volume of data from various sources. One of his biggest projects was creating a competitor monitoring and revenue performance tool for hotels, now used by over 120 hotels in Europe and North/South America.
Created and developed a cross-platform solution (web, iOS, Android) for personal finance management.
Managed organizational direction on emerging technology platforms and communicated the effectiveness to stakeholders.
Ensured that non-functional requirements such as security, performance, maintainability, scalability, usability, and reliability are met when architecting the software.
SeaOps provides oversight capabilities to offices and fleet operation centers. Users can track, monitor, and manage their fleet through one single portal. It was a new experience for me to work on an already mature solution within a well-constituted team, improving the solution and adding features like real-time updates. Improved my Angular skills, learned C#, discovered a new library for displaying map data (OpenLayers), and got used to Azure Cloud services.
Budgea is a finance app that regroups all bank accounts in the same place, automatically syncing and classifying expenses. It helps to make better decisions to save money through graphs and tables. As the company's first developer, created an MVP from scratch. After fundraising, a 5-member team was recruited to bring new features, increasing the number of users to several thousands.
Nimaling is a competitor monitoring and revenue performance tool used by over 120 hotels in Europe and North/South America. Developed the tool on a Node.js back end with Python and R and an Angular front end with some D3.js for data visualizations. Used scraping to collect a large volume of data from various sources.
