Younes Laajaj

Software Engineer at FITLE
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Paris Metropolitan Region, FR
Languages
  • French Full professional proficiency
  • Arabic Native or bilingual proficiency
  • English Professional working proficiency

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Credentials

  • AWS Certified Cloud Practitioner
    Amazon Web Services (AWS)
    Dec, 2022
    - Nov, 2024

Experience

    • Technology, Information and Internet
    • 1 - 100 Employee
    • Software Engineer
      • Dec 2021 - Present

      - Maintain and improve all our DevOps pipelines. - Improve our sdk scripts that makes easier the integration of our recommendation tool (plugin). - Maintain the stack : Python, Mysql and ReactJs (6 websites), and hosted on AWS. - Communicate with clients to understand their needs and integrate our recommendation tool into their websites - Migrate our data analytics pipelines from Scala to python using Spark and hosted on AWS. - Maintain and improve all our DevOps pipelines. - Improve our sdk scripts that makes easier the integration of our recommendation tool (plugin). - Maintain the stack : Python, Mysql and ReactJs (6 websites), and hosted on AWS. - Communicate with clients to understand their needs and integrate our recommendation tool into their websites - Migrate our data analytics pipelines from Scala to python using Spark and hosted on AWS.

    • France
    • Higher Education
    • 1 - 100 Employee
    • Python Teacher
      • Oct 2023 - Present

    • France
    • Civil Engineering
    • 100 - 200 Employee
    • Junior Data Scientist
      • Apr 2021 - Sep 2021

      Mission 1: Development of a solution based on deep learning algorithms for water level monitoring in rivers. solution: Semantic segmentation of water and use of image processing to extract the water level. Neural networks used: Pspnet, Deeplabv3+, Unet, Resnet, VGG16. Libraries: Keras and tensorflow on python3.7, AWS sagemaker Mission 2: - In a team of 6 peapole, I contributed in a website to visualize data that comes from all sensors used by Cementys for the monitoring of… Show more Mission 1: Development of a solution based on deep learning algorithms for water level monitoring in rivers. solution: Semantic segmentation of water and use of image processing to extract the water level. Neural networks used: Pspnet, Deeplabv3+, Unet, Resnet, VGG16. Libraries: Keras and tensorflow on python3.7, AWS sagemaker Mission 2: - In a team of 6 peapole, I contributed in a website to visualize data that comes from all sensors used by Cementys for the monitoring of its infrastructures. - Creation of Lambdas functions on AWS to integrate sensor data into postgresql database. Technologies: Reactjs, nodejs, postgresql, Git, AWS Show less Mission 1: Development of a solution based on deep learning algorithms for water level monitoring in rivers. solution: Semantic segmentation of water and use of image processing to extract the water level. Neural networks used: Pspnet, Deeplabv3+, Unet, Resnet, VGG16. Libraries: Keras and tensorflow on python3.7, AWS sagemaker Mission 2: - In a team of 6 peapole, I contributed in a website to visualize data that comes from all sensors used by Cementys for the monitoring of… Show more Mission 1: Development of a solution based on deep learning algorithms for water level monitoring in rivers. solution: Semantic segmentation of water and use of image processing to extract the water level. Neural networks used: Pspnet, Deeplabv3+, Unet, Resnet, VGG16. Libraries: Keras and tensorflow on python3.7, AWS sagemaker Mission 2: - In a team of 6 peapole, I contributed in a website to visualize data that comes from all sensors used by Cementys for the monitoring of its infrastructures. - Creation of Lambdas functions on AWS to integrate sensor data into postgresql database. Technologies: Reactjs, nodejs, postgresql, Git, AWS Show less

    • France
    • Research
    • 100 - 200 Employee
    • Student Internship : Matlab developer
      • May 2020 - Oct 2020

      Modeling electrical networks with differential equations Improving a fault current calculation algorithm on Matlab Develop an algorithm for optimizing the values of a component Tools : Binary Search, Dijkstra Modeling electrical networks with differential equations Improving a fault current calculation algorithm on Matlab Develop an algorithm for optimizing the values of a component Tools : Binary Search, Dijkstra

    • United States
    • Construction
    • 1 - 100 Employee
    • Worker internship
      • Jul 2017 - Aug 2017

      Understand the complete installation of electricity delivery and transformation stations (discover the work environment, the functioning of the company and the hierarchical relations within it) Understand the complete installation of electricity delivery and transformation stations (discover the work environment, the functioning of the company and the hierarchical relations within it)

Education

  • École Centrale de Lyon
    Master 2 (M2), Data science
    2020 - 2021
  • École Centrale de Lyon
    Engineer's degree, Computer Science
    2018 - 2020
  • Ecole Nationale Supérieure des Mines de Rabat
    Engineer's degree, Computer Science and industrial automation
    2016 - 2018
  • CPGE - preparatory classes for engineering schools
    intensive courses in math and physics
    2014 - 2016

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