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Corentin BerteauxCB

Corentin Berteaux

Full-Stack Next.js / React – AI & Data

€690/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Corentin

**Full-Stack Developer**, I am passionate about creating useful and concrete products.

I've been coding since I was 14, and what has always motivated me, much more than the technology itself, is bringing tools to life that people actually use, that simplify their daily lives, and that meet a clear need.

Before dedicating myself to web development, I worked as aLead Data Scientist and Data Engineeron numerous projects. This experience taught me to think in terms ofbusiness logic**, **data quality**, and robustness, which today allows me to be particularly effective on products where **web, data, and AIintersect.

I will assist you **from conception to production**, especially if your project involves:
  • AI / LLM integrations,
  • connections to complex databases,
  • SEO, content, multi-country features,
  • testing, performance, or monitoring needs.

Trained at **Theodo**, I prioritize **value**, **pragmatism**, **continuous improvement**, and **rapid delivery**.

If you have a product to accelerate, a complex feature to develop, or an AI integration to implement, **let's discuss it**.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 10km)

Experience

  • Theodo HealthTech (Sanofi)
    Full-Stack Developer
    MEDICAL
    January 2025 - Today (1 year and 5 months)
    Paris, France
    I am involved in the design and delivery ofweb platformsandAI toolsfor Sanofi's marketing and medical teams.

    On an internal project, I developed a platform allowing teams to **measure the performance of their content**, **generate SEO articles using LLMs**, and **publish in one click to Magnolia CMS**.
    Specifically, I:
    • integrated anSEO evaluation toolwith automated optimization workflows,
    • designed and deployed aStorybook component playbookto facilitate use by non-technical teams,
    • worked in an environment tooled for quality and reliability:LaunchDarklyfor feature flags,Cypressfor E2E tests,Datadogfor observability,SonarQubefor code quality.

    I also delivered a website for healthcare professionals, adapted into 20+ country versions with custom SSO, in just three months.

    **Tech**: Next.js, React, GenAI/LLM, ShadCN, SurferSEO, Magnolia, DynamoDB, Amplify, LaunchDarkly, Datadog, Cypress, SonarQube

    Next.js React.js Generative AI / LLM SEO SSO
  • Theodo Data & AI
    Lead Data Scientist & Lead Data Engineer
    DIGITAL AND IT
    June 2024 - January 2025 (7 months)
    Paris, France
    As **Tech Lead**, I carried out two projects combining AI, computer vision, and data engineering, directly contributing to development and technical direction.

    Computer Vision POC for Automatic Inventory (Martin Brower)
    • Development of acomplete workflowcombining image segmentation, depth estimation, and OCR
    • Over80% accuracy achievedin 8 weeks
    *Supervision and coordination of a teamcomposed of 2 data scientists, 1 mobile developer, and 1 expert camera hardware


    High-Volume Data Platform for Social Media Content
    • Construction in9 weeksof a complete pipeline, from ingestion to business delivery
    • Processing over1,000,000+ posts/day(Facebook, YouTube, Snapchat)
    *100% cloudproduction deployment: GCP, Airbyte Cloud, Metabase Cloud, Forest Admin


    Tech:GroundedSAM, Depth Anything v2, OCR, DVC, Gradio, Airbyte, BigQuery, Dataform, Cloud SQL, Metabase, Forest Admin
    Data Engineering Computer Vision Google Cloud Platform (GCP) Airbyte Python
  • Theodo Data & AI
    Data Scientist & Data Engineer
    DIGITAL AND IT
    May 2022 - June 2024 (2 years and 1 month)
    Paris, France
    I deliveredML modelsanddata pipelinesin production for clients in the media, industry, retail, and e-commerce sectors, working on topics combining recommendation, forecasting, data integration, and cloud workflows.

    My main projects:

    *TF1(8 months): migration of the recommendation engine to a "program" level for thelaunch of TF1+**, generating over **1M recommendations/day(Databricks, Azure, Snowflake)

    *Botify(6 weeks): development of a customAirbyte connectorto synchronize SEO data

    *Engie(3 months): creation ofDatabricks pipelinesfor analyzing building sensor data

    *Neoday(7 months): sales forecasting models with LightGBM and Streamlit dashboards

    *Akeneo(2 weeks): product synchronization pipeline viaDataflowand Cloud Run, with Pub/Sub orchestration

    *Disneyland Paris(1 month): data quality POC withElementarywithin a dbt workflow


    Tech:Airbyte, Databricks, PySpark, LightGBM, Azure, Snowflake, Dataflow, Cloud Run, Pub/Sub, Streamlit
    Data Engineering Machine Learning Python Airbyte Google Cloud Platform (GCP)

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Education

  • Master's Degree in Engineering
    CentraleSupélec
    2022
    Spécialité Data Science (Dominante Science des Données et de l'Information)
  • Post-Graduate Exchange, Computer Science
    University of Melbourne
    2020
    6 mois d'échanges, avec un focus sur 4 cours d'informatique : - Artificial Intelligence - Machine Learning - Distributed Systems - Declarative Programming Grade: H1 - First Class Honours (GPA: 4/4)

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