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Quentin SauvageQS

Quentin Sauvage

Software engineer

€680/day
Paris, FR
8-15 years

Average response time: 1 hour

About Quentin

I am a software engineer with 7 years of experience in complex, high-reliability IT environments, combining strong systems thinking with hands-on development. My background includes leading technical projects in finance and building applications end-to-end, from architecture to delivery.

I specialize in structuring complex problems into robust, maintainable solutions. I work primarily with Swift and Python, and I have experience designing APIs, data workflows, and ML-driven features. I am particularly interested in projects involving data processing, automation, machine learning integration, and developer tooling.

Beyond pure development, I bring a product mindset: I focus on clarity, scalability, and long-term maintainability rather than quick fixes. I am comfortable working across technical and non-technical stakeholders, translating business needs into reliable systems.

For clients, I provide value by:
• Designing clean and scalable architectures
• Building data pipelines and ML prototypes
• Improving performance and reliability of existing systems
• Structuring technical projects and reducing delivery friction

I am especially motivated by projects that require analytical thinking, autonomy, and the integration of intelligent systems into real-world workflows.
  • English

    Native or bilingual

  • French

    Native or bilingual

  • German

    Conversational

  • Italian

    Basic

  • Russian

    Basic

  • Japanese

    Basic

Remote only
Primarily works remotely

Experience

  • Quentin Sauvage
    iOS App Developer
    EDUCATION AND E-LEARNING
    January 2022 - Today (4 years and 5 months)
    Design and development of an iOS application in Swift dedicated to wine education, including structured tasting notes, flashcards, and study support for advanced wine certifications (WSET Level 3 & Diploma). Led the project end-to-end: product definition, UX design, data modeling, architecture, and implementation.

    Built features for structured data capture (tasting grids), spaced-repetition flashcards, and analytical review of notes to support exam preparation and blind tasting training. Implemented offline-first local persistence and modular architecture to ensure scalability and maintainability.

    Experimented with lightweight machine learning components to analyze tasting inputs and generate predictive insights, exploring feature engineering and model evaluation in a domain-specific context.

    Focused on clean user experience, reliability, and long-term maintainability, applying solid software engineering practices throughout the project lifecycle.
    iOS Swift Firebase Mobile Design Machine learning
  • Banque de France
    Chef de projet informatique
    July 2020 - December 2025 (5 years and 5 months)
    • • Pilotage de la maintenance technique et fonctionnelle de 3 applications cri tiques, utilisées par plus de 500 utilisateurs internes et externes
    • • Garantie de la haute disponibilité (>99,9%), performance et intégrité des données
    • • Gestion d'une équipe de 5 développeurs, plannings et budgets en mode agile (Kanban)
    • • Outils : MS Project, Office, Jira, Confluence, SharePoint.
    Project Management Microsoft Project Microsoft Office Atlassian JIRA Agile method
  • Banque de France
    Analyste informatique Java EE / AngularJS en alternance
    January 2017 - January 2020 (3 years)
    • • Développement d'évolutions frontend et tests automatisés (Selenium WebDriver, Katalon Recorder)
    • • Formations Bärchen : VBA, R, statistiques, Excel, marchés financiers
    Java AngularJS QA testing Python Web development

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Education

  • Licence et Master MIAGE Informatique pour la
    Université Paris Dauphine
    2020
    Licence et Master MIAGE Informatique pour la
  • BTS SIO
    École IRIS
    2017
    BTS SIO

Skill set

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