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Rami LatrecheRL

Rami Latreche

Automation/Computer Engineering - Industry 4.0

€350/day
Compiègne, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Rami

Industrial engineering graduate specializing in automation and industrial computing, I design and develop innovative solutions for Industry 4.0. With practical experience on concrete projects, I master the implementation of automated systems, the integration of sensors and actuators, as well as the development of supervision (HMI/SCADA) and industrial data processing solutions.

I work across the entire value chain, from needs analysis to the deployment of functional solutions, including system development and optimization. I attach particular importance to the reliability, performance, and ease of use of the solutions I offer.

Comfortable with tools such as Raspberry Pi, Ignition Vision, Grafana, as well as relational databases, I can support companies in their digitalization, industrial supervision, and process optimization projects. My goal is to provide concrete, effective solutions tailored to the specific needs of each client.
  • French

    Native or bilingual

  • English

    Conversational

  • Arabic

    Native or bilingual

  • kabyle

    Native or bilingual

Can work on-site
Compiègne (up to 50km), Paris (up to 50km), Lille (up to 50km), Lyon (up to 50km)

Experience

  • ( Saint-Gobain Glass)
    Industry 4.0 Engineer
    RAW MATERIALS INDUSTRY
    September 2025 - January 2026 (5 months)
    Thourotte, France
    I designed and developed HMI/SCADA interfaces using Ignition Vision, enabling clear and intuitive supervision of industrial facilities. In this context, I also implemented relational databases to ensure automatic collection and storage of production data, guaranteeing their reliability and traceability.

    Furthermore, I worked on the centralization and exploitation of industrial data, facilitating their access and use for analysis and decision-making. I developed high-performance dashboards for real-time monitoring of key indicators, offering better visibility into system performance. Finally, I actively contributed to the digitalization of industrial processes by proposing innovative solutions to improve operational efficiency and data management.
    HMI SCADA API Database Ignition
  • Université de Lille
    Automation & Industrial Vision
    RESEARCH
    October 2024 - February 2025 (4 months)
    Lille, France
    I designed and implemented a complete automated conveyor and sorting system for an industrial environment, handling all stages from study to commissioning. The system was controlled using a Raspberry Pi, providing a flexible and efficient solution. In this context, I integrated various presence sensors for package detection as well as actuators, particularly servomotors, to ensure precise orientation and sorting.

    Furthermore, I developed and deployed an industrial vision system capable of detecting and classifying packages in real-time based on defined criteria, which effectively automated the sorting process. I also designed a robust decision logic ensuring fast, reliable sorting adapted to the system's constraints. Finally, I set up Grafana dashboards for performance monitoring and analysis, providing clear data visualization and facilitating continuous system optimization.
    MQTT Grafana InfluxDB Vision Python

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Education

  • Master of Industrial Engineering
    University of Lille
    2025
    Master génie industriel
  • Bachelor of Electrical Engineering
    University of Lille
    2023
    Licence ingénierie électrique

Certifications

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