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Farouk E.FE

Farouk E.

AI & Full-Stack Engineer | Azure · RAG • Python

€450/day
Strasbourg, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Farouk

Looking for someone who can understand your business problem, advise on the right solution, develop it, and deploy it in production?This is exactly what I do.

Freelance AI & Full-Stack Engineerbased in Strasbourg, I handle everything from needs analysis to deployment, remotely or on-site.

What I concretely build:
Autonomous AI Agents and RAG pipelines: your teams find information in seconds, your processes run without human intervention (Azure AI Foundry · LangGraph · Azure AI Search)
Complete full-stack development: Next.js · Python/FastAPI · Go · C#/.NET
Automation of your business processes: n8n · Power Automate · zero repetitive tasks
Custom business applications: Power Apps · Dataverse · SharePoint · connected to your systems
Azure Cloud Deployment: production rollout, access security, monitoring, CI/CD

Whatdifferentiatesme on Malt:
I master both the deep technical layer (LangGraph, FastAPI, RAG, Go) and the business Microsoft ecosystem (Power Platform, Azure AI, Microsoft 365).

Result: You don't need multiple providers. I cover the entire cycle, from initial scoping to production rollout.

LLMs: Azure OpenAI · Claude · Gemini · Ollama (local/on-premise)

Do you have an AI project to launch?
A process to automate?
A POC that never makes it to production?

Let's talk — I respond in under 24 hours.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Arabic

    Native or bilingual

  • German

    Conversational

Can work on-site
Strasbourg (up to 30km), Paris (up to 15km)

Experience

  • Straformation
    AI & Automation Consultant
    EDUCATION AND E-LEARNING
    December 2025 - March 2026 (3 months)
    Strasbourg, France
    A training organization needed a complete system to attract, capture, and convert prospects — without daily manual intervention.

    I designed and deployed a complete digital infrastructure from A to Z:

    → High-conversion landing page — Next.js & Tailwind CSS, optimized registration forms, and custom user journey

    → Headless WordPress + GraphQL Blog — articles fetched via GraphQL and displayed on the Next.js landing page to maximize SEO without content duplication

    → AI Content Pipeline — automated article generation via ChatGPT (OpenAI), visual creation with Cloudflare AI, continuous automated publishing

    → Complete automation with n8n — lead collection and processing from forms, intelligent routing, automated follow-up emails, and nurturing

    → Integrated e-commerce store — ebook sales with Stripe, state management with Zustand, smooth and secure purchasing experience

    → Industrialized production deployment — Docker containerization, automated CI/CD pipeline for zero-downtime updates, hosting on OVHCloud

    Result: A complete system in production, generating organic traffic, capturing leads, nurturing prospects, and selling — 24/7, without manual intervention.
    Next.js n8n OpenAI API Stripe API GraphQL API
  • Qwerio
    AI & RAG Consultant
    DIGITAL AND IT
    November 2024 - November 2025 (1 year)
    Strasbourg, France
    Design and deployment of an AI assistant capable of instantly answering team questions based on their internal documents — in natural language, without manual searching through files.

    How it works:
    Documents are stored on Azure Blob Storage, processed, chunked, and vectorized in Azure AI Search (semantic search), then queried via an LLM deployed on Azure AI Foundry — all exposed via a FastAPI API and a modern Next.js interface.

    What I built from A to Z:

    → Complete RAG pipeline: document ingestion from Azure Blob Storage, chunking, vectorization, and semantic indexing in Azure AI Search

    → LLM integration via Azure AI Foundry: the model receives the extracted context and generates a precise, sourced answer

    → Secure REST API with FastAPI (Python) to orchestrate the entire AI pipeline

    → Next.js Frontend — intuitive chat interface for end-users

    → Authentication and user management with C#/.NET + Supabase database (PostgreSQL)

    → Complete cloud deployment and access security on Azure

    Result: A production-ready RAG solution, multi-user, secure, and scalable.
    Retrieval-Augmented Generation (RAG) Azure AI Foundry Python Next.js Supabase
  • Socomec
    Microsoft Consultant
    ENERGY AND UTILITIES
    November 2023 - November 2024 (1 year)
    Strasbourg, France
    SOCOMEC, a major industrial player, needed to digitize and secure the reception of its visitors across 3 industrial sites with full GDPR compliance and zero manual intervention.

    I designed and deployed a complete end-to-end solution:

    → Two Power Apps applications: an Agent interface for administrators (visit management, Excel import, history, export) and a multilingual FR/EN touch kiosk for visitors (self-registration, GDPR consent, badge printing)

    → 6 automated Power Automate flows: badge printing via secure REST API (Bearer Token), Teams and email notifications, automatic GDPR anonymization, archiving, and PDF generation

    → C#/.NET REST Webservice deployed on IIS: instant printing of visitor badges via Brother QL printer, secured with HTTPS + Bearer Token

    → Multi-site architecture: 3 independent environments (U1, CIL, U3) with centralized administration and automatic routing based on the connected site

    → GitLab CI/CD Pipeline: automated build, controlled deployment across 3 environments (development, staging, production), rollback possible

    → Complete Security: Microsoft Entra ID, RBAC, MFA, HTTPS, logging of all actions

    Result: 12 check-ins in 60 seconds via kiosk, GDPR compliance validated, zero manual intervention on reception processes.
    Microsoft Power Platform Microsoft Power Automate Dataverse .NET SharePoint Online

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Education

  • Master's degree in IT Systems Architecture and Software Applications Management
    CESI Engineering School
    2025
    - Gestion de projet - Management d'équipe - DevOps - CI/CD - Kubernetes - Docker
  • Master's degree in Computer Science (Year 1)
    Martin Luther University of Halle-Wittenberg
    2022
    - Algorithme avancée - Machine learning - Data mining - Sécurité IT - Ebusiness

Skill set

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