Freelancer profile translated to English.

Description

Hello,

My passion for IT and technologies led me directly to a developer training program right after high school. Through my training and various experiences, I have learned different languages such as C, C++, C#, Python, PHP, Javascript, and Ruby, as well as the use of popular frameworks today like Symfony, Nodejs, Django, and Flask.

Always ready to take on new challenges, I remain open to all types of opportunities today and my adaptability will be useful to you!

Languages

English
Fluent
Chinese
Native or bilingual
French
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Trainline
Ruby software engineer
TRAVEL AND TOURISM
April 2022 - Today (4 years and 1 month)
Paris, France
-Integration of APIs (SNCF, OUIGO, Eurostar, Benerail)
-Investigation and correction of bugs reported by various departments and clients
-Ensure production deployment + monitor deployment

Tools / languages / concepts: Ruby, Kibana, PostgreSql, RabbitMQ, SCRUM
Organizational context: Team of 7 people
Ruby API Autonomy Agile methodology Kibana New Relic Deployment
Travel planet
Nodejs backend software engineer
TRAVEL AND TOURISM
January 2021 - February 2022 (1 year and 2 months)
Paris, France
-Improvement of existing booking APIs (SNCF, trainline)
-Refactoring of APIs responsible for air travel (British Airways)
-Addition of a new hotel provider (Travel Fusion Hotel)
-Creation of APIs related to COVID-19 travel risks, informing travelers before departure (TravelSafe, Riskline, Flightstats)
-Synchronization of orders from Cassandra to MySQL, by creating an AWS SQS queue that updates the order at each booking stage.

Tools / languages / Concepts: Nodejs, AWS, MySQL, Cassandra, API, Git, Javascript, XML
Node.js JavaScript Cassandra MySQL REST API From scratch Agile methodology
ACPR Banque de france
Python web/software developer
BANKING AND INSURANCE
June 2020 - Today (5 years and 11 months)
Paris, France
Development of new features for a monitoring tool allowing ACPR agents to monitor the activities of companies in the banking and insurance sector, ensuring they apply good commercial practices.

The tool is divided into 3 parts: first, retrieving user data from the Radarly API, then processing and classifying the data with Python, and finally displaying the data on a web platform with the Flask Python framework.
AngularJS Java Python API Flask MongoDB Gitlab jQuery Data science HTML5 CSS3