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Marion FabreMF

Marion Fabre

Python/C++ Development Engineer

€600/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Marion

Software development engineer passionate about scientific innovation, I work at the intersection of high-performance computing, research, and software quality assurance.
Autonomous, rigorous, and driven by a desire to deeply understand complex systems, I enjoy designing reliable, intuitive, and useful tools for the scientific and technical community.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Spanish

    Conversational

Can work on-site
Paris (up to 50km)

Experience

  • Quandela
    QA Engineer
    NANO-TECHNOLOGY
    September 2024 - June 2025 (9 months)
    Massy, France
    Creation of the QA position and department at Quandela:
    - Self-training in QA profession

    Implementation of a QA solution from scratch:
    - Collection of internal QA needs
    - Testing framework benchmark

    Creation and maintenance of a testing solution for Quandela's Cloud:
    - Development of the test driver:
    - Cucumber (behave - python)
    - UI and API testing (Selenium)
    - Writing test scenarios with Gherkin language
    - Formatting results using the Allure Report solution
    - Writing test reports / Jira Ticketing
    Python QA Git agile-project-management Cucumber
  • Quandela
    Scientific Software Development Engineer
    NANO-TECHNOLOGY
    June 2023 - January 2025 (1 year and 7 months)
    Massy, France
    Development of the Perceval framework for simulating photonic quantum circuits:
    • Agile operation
    • Analysis, refinement, architecture
    • Implementation and unit testing in Python and/or C++
    • Writing technical and user documentation
    Linux Python C++ quantum computing Optimization
  • NanoXplore SAS
    Algorithm Engineer
    NANO-TECHNOLOGY
    February 2021 - May 2023 (2 years and 3 months)
    Sèvres, France
    Development of a software suite for FPGA (C++) under Linux (CentOS 7/8):
    - Teamwork (+30 people) AGILE method
    - Refactoring of FPGA Design Constraints
    - Implementation of STA (Static Timing Analysis) functions
    - Implementation of the corresponding Python API
    And internal specific timing simulation tools (Python):
    - Gathering needs and knowledge from the hardware department
    - Autonomous software implementation
    - Use of scientific libraries (scipy, sklearn, multiprocessing, pandas, seaborn, matplotlib), multi-thread management of data generation through quadratic regression, clustering, and visualization of this data.
    Unification of Python coding practices and style within Nanoxplore.
    C++ Linux Python Optimization Agile project management

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Education

  • Engineer
    Ecole nationale supérieure de l'Electronique et de ses Applications
    2016
    - Embedded systems (2015-2016) - C++ language (2014-15) - Algorithmic and programming (2014-15) - Game theory and telecommunication (2014-15) - Mass-market latest products (2013-14) - Electrical power: Production and distribution (2012-13)

Skill set

Categories