Freelancer profile translated to English.

Description

Studies engineer specialized in integration, validation, and software quality, I am involved in the entire software lifecycle—from requirements definition to system validation.

I have participated in several complex projects in the automotive and telecommunications sectors, with recognized expertise in functional testing, automation, continuous integration, and A-SPICE/ISO 26262 compliance.

With over 4 years of experience, my approach combines methodological rigor and technical pragmatism: I ensure the quality of deliverables, traceability of requirements (DOORS, CoreALM, Polarion), and the reliability of integration environments (Jenkins, GitLab CI/CD, Git).

I also have a strong DevOps sensibility and a keen interest in continuous improvement of QA processes (tooling, reporting, Python/Robot Framework automation).

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Lille (up to 10km), Lyon (up to 10km), Montpellier (up to 10km), Marseille (up to 10km)

Valeo
QA Test & Automation Engineer - AMOA
AUTOMOBILE
October 2021 - January 2026 (4 years and 3 months)
Créteil, France
Context:As part of the development of embedded systems for the automotive industry, I participated in the validation and software integration of ADAS modules. My role was to ensure the quality and reliability of the software by implementing adapted testing strategies, while integrating automation and continuous integration into the validation process.
Tasks:
Analyze requirements and external/internal interfaces
Study specifications and write the test strategy
Deploy an automatic testing solution on an HW bench
Test scripting / Test execution
Execute tests on HIL/SIL benches.
Automate SW integration tests. Analyze results and create bug reports.
Correct using the continuous integration framework.
Set up a CI (Continuous Integration) test environment in collaboration with the Jenkins team.
Traceability and software defect (APR) reporting.
Tools used:ITAT, Google Test, Rhapsody, Doors, CoreAlm, Windows/Linux, RobotFWK, VMware, Arduino, AUTOSAR, CANoe, dSpace, Oscilloscope, Video Injector.
Languages used: Python, batch, shell, and C++
C++ Doors Linux Python (Programming Language) gtest
ORANGE
Test and Validation Engineer
TELECOMMUNICATIONS
April 2021 - October 2021 (6 months)
Issy-les-Moulineaux, France
Project:Validation and qualification of telecommunication services and mobile applications at Orange.
Context:As part of the deployment and optimization of telecommunication services at Orange, I contributed to the validation and qualification of mobile services and networks. The objective was to ensure the stability, performance, and reliability of mobile applications and network infrastructures before their production release.
Tasks:
Test mobile phone functionality on 3G/4G/5G networks
Study services implemented on mobile phones
Analyze, execute, and modify test plans, and create new ones based on client specifications
Perform tests in a test environment
Analyze, investigate, and classify encountered anomalies
Produce a test report based on client objectives
Present the validation summary and ensure reporting.
Technical Environment:Android, IOS, Set-top Box, Wifi, GSM, GPRS, UMTS, HSXPA, HSPA+, LTE, LTE-A, Browsing, NFC, SimToolkit, Messaging, FTP, CS/PS, MultiRAB, Streaming, Connectivity, TCP/IP, Linux, QC, JIRA, and Sharefile.
Python (Programming Language) QC ALM Jira Linux Agile Method
Samsolutions
Embedded Systems Engineer
AUTOMOBILE
April 2020 - August 2020 (4 months)
Paris, France
Project:Development of a driver drowsiness detection system.Context:As part of advancements in automotive safety and ADAS (Advanced Driver Assistance Systems) technologies, I worked on the development and validation of a driver monitoring system. The objective was to design a solution capable of detecting signs of drowsiness using facial recognition technologies and embedded sensors.
Tasks:
Design a driver safety system for detecting drowsiness while driving
Cover the different modules and systems used in next-generation vehicles
Enable the implementation of the fundamental detection program capable of universally detecting the face and eyes.
Technical Environment:Python, VB-DAS, Ultrasound sensor, LIDAR, CAN network, ADAS
Python (Programming Language) Agile Method CAN Linux