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MohamedGharboub

Mohamed Gharboub

software engineer/certifed aws solution architect

Peut se déplacer à Toulouse

  • 43.6043
  • 1.44199
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Mohamed.
Proposer un projet La mission ne démarrera que si vous acceptez le devis de Mohamed.

Localisation et déplacement

Localisation
Toulouse, France
Peut travailler dans vos locaux à
  • Toulouse et 50km autour

Vérifications

  • E-mail vérifié

Langues

Catégories

Compétences (4)

Mohamed en quelques mots

Experienced Software Engineer, with a demonstrated history of working in the information technology and services industry. More than two years’ experience in the project of predictive monitoring for Orange (Anomaly detection in technical equipments such as batteries), and for Airbus (Predictive monitoring for A320, A350 and A380 equipments).

Skilled in Python and Java (Programming Language), Good knowledge of Amazon Web Services architecture (Certified AWS Solution Architect – associate), and good
knowledge in machine learning and deep learning field.

In these projects, I demonstrated a strong skills of understanding business needs, deploy Machine learning solutions, and end-to-end development capacity (Databases/servers/Client HCI). Currently, I gain skills to use Amazon Web Services to provide pipelines and infrastructures to the manufacturing industry.

Expériences

airbus - AIRBUS GROUP

Aéronautique & aérospatiale

Digital Accelerator/ Machine Learning Engineer/ SRE AI

Toulouse, France

février 2021 - février 2021

Enable artificial intelligence for the Airbus analytical community by creating a scalable and highly available Platform based on Aws Sagemaker.
Tasks:
- Évangelization of advanced analytical and machine learning tool to annotate, build and deploy ML models
- Data and machine learning pipelines based on step function and aws sagemaker
- Migration of AI solutions from On-premise to aws, and check of data compliance.
- Build automatic set of features for automatic onboarding of the user on aws. (automate generation of aws
resources based on Cloudformation)
- Securisation of the platform using Iam policies.
- Cost optimization of resources, by using automatic backup and stop of machines.
Results:
- Reduce time to market for AI products from months to days.
- Reduce the cost Infrastructure by 40 %
- More than 1000 Job running within aws sagemaker
- Onboarding of more than 10 use cases.
- Reduce time of onboarding from months to hours.
- Deliver an application with 0 down time.
Technologies:
- Devops: git jenkins, artifactory, aws CDK, Terraform, CloudFormation
- AWS services: Iam, VPC, S3, API Gateway, Lambda, AWS Sagemaker, Stepfunction.
- Langages : Bash, Python3
aws Sagemaker CloudFormation Jenkins Python Bash

ATOS - Atos Organisation

Aéronautique & aérospatiale

AWS cloud engineer

Toulouse, France

septembre 2018 - août 2019

Developed a suite of features for Airbus in different Airbus’s business
such industry 4.0 and customer experience. features include a recommendation engine based on graph analysis and serverless micro service,
pipelines for image processing based on aws and deep learning frameworks such tensorflow and OpenCV for surface inspection.
• Define technichal solutions using architectural design principles based on
customer requirements,
• Infrastructure automatisation and scripting using terraform , cloudFormation.
• Cost optimisation using automated backups, serverless solutions (Pay for
what you use).
• developing components of the applications using python and java depends in
sepcifications and needs.

Recommandations externes

Consultez les recommandations qu'a reçues Mohamed

Formations

Certifications