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Iheb BriguiIB

Iheb Brigui

Consultant Azure Cloud Engineer / AI & Data / DevOps

€450/day
Viroflay, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Iheb

Graduated in Data Science, my passion naturally turned towards Azure and DevOps. I specialized in cloud missions to develop, automate, and deploy fully industrialized solutions (Infrastructure-as-Code & Azure services). I also integrate Azure AI services (RAG, NLP, LLM) to make company data more useful and accessible, while simplifying my clients' daily lives.
  • French

    Native or bilingual

  • English

    Conversational

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

Experience

  • Ministère des Ressources Humaines au Moyen-Orient
    Consultant Azure Cloud Engineer / DevOps / AI
    November 2025 - January 2026 (2 months)
    Design of an Intelligent HR Assistant based on Azure AI

    Development of an intelligent assistant for the Ministry of Human Resources and Social Development in the Middle East, using official HR PDF documents provided by the client.
    The client's objective was to enable employees to quickly and reliably access HR policies, procedures, and regulations by automating responses to business questions using generative AI and RAG, while ensuring contextualized answers based on official and internal sources.

    • Integration and utilization of an official HR document base provided by the ministry
    • Intelligent extraction and structuring of PDF content
    • Implementation of a semantic search engine for quick information access
    • Development of a conversational assistant capable of providing contextualized answers
    • Generation of enriched responses with references to source documents
    • Deployment of a secure, scalable, and automated solution on Microsoft Azure
    • Implementation of DevOps best practices and deployment automation

    Tools and technologies used:
    Azure OpenAI, Azure AI Search, Azure Document Intelligence, Azure Blob Storage, Azure Functions, Azure Static Web Apps, Azure Key Vault, Terraform, GitHub Actions, ReactJS, Python.
    Terraform Azure AI Foundry Azure DevOps React.js Azure Blob Storage
  • Atomic IT
    Azure Cloud Engineer / AI
    May 2025 - November 2025 (6 months)
    Semantic analysis of mobile application user reviews (Azure AI)

    Development of an intelligent solution for analyzing mobile application user reviews, enabling the client to automatically leverage feedback from Google Play.
    The client's objective was to better understand user satisfaction and dissatisfaction, identify recurring issues, and pinpoint areas for application improvement by automating the analysis, summarization, and querying of reviews using NLP, generative AI, and RAG techniques to facilitate product decision-making.

    Achievements:
    • Automated collection and centralization of user reviews
    • Cleaning, structuring, and preparation of textual data
    • Sentiment analysis and classification of user feedback
    • Implementation of semantic search on reviews
    • Automatic generation of intelligent summaries per application
    • Development of a conversational interface for querying reviews
    • Visualization of key indicators and user trends
    • Deployment of a scalable and secure cloud solution on Microsoft Azure

    Tools and technologies used:
    Microsoft Dataverse · Azure Static Web App · Azure AI Foundry · Azure Functions · React.js · Python (programming language) · Microsoft Power Automate
  • Atomic IT
    Python Developer
    January 2025 - May 2025 (4 months)
    Descriptions:
    Design and development of a centralized management web application allowing the client to administer their system through multiple access levels (Administrator, Manager, and Reseller).
    The client's objective was to have a secure and reliable interface for managing users, permissions, business data, and statistics, while ensuring a robust, scalable, and easily maintainable backend architecture.

    Achievements:
    • Design of a structured and modular backend architecture with Flask
    • Implementation of a role-based authentication and authorization system
    • Secure management of user sessions and access
    • Development of CRUD functionalities for users and business data
    • Creation of dashboards for monitoring statistics and key indicators
    • Logging of actions and report generation
    • Exposure of REST APIs to ensure scalability and future integration

    Tools and technologies used:
    Python, Flask, SqlAlchemy, MySQL, JWT, Werkzeug

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Education

  • Master in Business Analytics (Bachelor)
    Master en Business Analytics (Bac
  • Data Scientist
    Esprit (Higher Private School of Engineering and Technology) School of Business
    Data Scientist

Skill set

Categories

  • Other