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Salem Ben MabroukSB

Salem Ben Mabrouk

🚀 Expert Python | ⚙ Backend | ☁ AWS x2 Certified

€650/day
Paris, FR
3-7 years

Average response time: 1 hour

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About Salem

TL;DR: Backend Dev / Python / Devops / AWS Developer Associate Certified

During my 6 years of experience, I have had the opportunity to study a wide range of disciplines, providing me with a solid foundation to work in various sectors such as energy, media, wealth management, passenger transport, conversational robots and the automotive industry.

I strive to bring expertise in Python development. My experience has allowed me to contribute effectively to the development of various infrastructures, adding significant value to client applications. I particularly enjoy working in the AWS environment, which offers an exceptionally robust range of tools and services.

Python is the language I am most comfortable with, although I have also experimented with many other languages.

In terms of database management, I am able to work with relational and non-relational databases, having the ability to model and install MongoDB, PostgreSQL, DynamoDB, Cassandra and InfluxDB databases.

I like to model Cloud or On-Premise infrastructures according to the client's problem. I am comfortable with Linux, MacOS and Windows operating systems.

I would be delighted to bring these skills and experience to your project. Do not hesitate to contact me to discuss your needs and see how I can help you.
  • English

    Fluent

  • French

    Native or bilingual

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

Experience

  • Valeo
    Solution Architect
    AUTOMOBILE
    March 2024 - Today (2 years and 3 months)
    Créteil, France
    Within Valeo's innovation team, I am creating the architecture and participating in the development of a solution hosted on AWS presented at the Mondial de l'Auto and CES 2025.
    Amazon Web Services Terraform artificial intelligence
  • Renault
    Python Developer
    AUTOMOBILE
    November 2021 - March 2024 (2 years and 4 months)
    Guyancourt, France
    Within the R&D Resim ADAS team at Renault, I was responsible for continuing the development and maintenance of existing services. The Resim ADAS team is responsible for the virtual resimulation of hundreds of thousands of kilometers of driving data. These resimulations involve processing thousands of TB of data.
    The ultimate goal is to improve the AI of autonomous vehicles. These calculations are distributed in a network of hundreds of HPCs.

    Migration to GCP
    ‱ Development of a Kubernetes (GKE) job generator

    Maintaining and evolving existing scripts

    Resimulation of legacy projects
    ‱ Management of a team of 3 developers on the project
    ‱ Code Review on the rewriting of Perl projects to Python
    ‱ CI/CD integration for automation of legacy projects

    Development of data injection software from scratch
    ‱ MVC architecture
    ‱ Rewriting the graphical representation of the software with Tkinter
    ‱ Implementation of parallelized injection with multiprocessing
    ‱ Saving injection statuses in the database (hash comparison)

    Maintenance of internal packages
    ‱ Automatically compress/decompress files before upload/download
    ‱ Creation of utility classes to GCS, AWS S3, IDP.

    Development of the geolocation labeling process
    ‱ Reading and formatting collected GPS data
    ‱ Detection of Points Of Interest crossed
    Google Cloud Platform (GCP) Python PostgreSQL Kubernetes
  • Danil.io
    AWS Devops Developer
    SOFTWARE PUBLISHING
    September 2021 - November 2021 (2 months)
    Paris, France
    Danil is a SaaS platform for data visualization of chatbot performance.
    The application is hosted by AWS in a Serverless manner. This web application is produced by the company Coddity and is currently in production at various telecommunications clients.
    I worked within the team to set up a complete CI / CD chain.

    Installation of a CI/CD chain From Gitlab to the AWS Cloud
    ‱ CI: Validation of PEP8 standards
    ‱ Build the application and save the artifacts in S3
    ‱ Automatic deployment of various serverless services

    Writing the infra-as-code of the project with SAM (Serverless Application Model)
    ‱ Configuration of the API Gateway, Cognito (authentication)
    ‱ Lambdas and different layers, with management of Development and Production environments.
    AWS serverless Gitlab CI/CD Python

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Education

  • General Engineering degree with a Data Science option
    Ecole Supérieure d'Ingénieurs Léonard de Vinci
    2018
    - Software Development: Python, Javascript, Java, C# - Data Science: Machine Learning, Data analysis, Data visualization - Big Data: Hadoop, Map-reduce, NoSql Databases

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