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mariambenali (Mariam BENALI) · GitHub

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mariambenali/README.md


🤖 AI Engineer obsessed with turning data into intelligent systems. I build LLMs, RAG pipelines, and real-time ML infrastructure that scale. Currently exploring multi-modal AI & agentic systems · Open to collaborations ·

📍 Available for Contributing    ·  ⚡ Backend + AI Combo


Github Stats


🧠 Core Expertise

🤖 AI & Machine Learning

PROFICIENCY MATRIX

Skill Level
RAG Systems ████████████ 95%
NLP & LLMs ████████████ 96%
Deep Learning ███████████· 92%
Computer Vision ██████████·· 88%
MLOps & Deploy ██████████·· 87%
Time Series ██████████·· 85%

Core Specializations:

  • 🔍 Retrieval-Augmented Generation
  • 🧠 Transformer Architecture
  • 📊 Predictive Analytics
  • 👁️ Computer Vision Systems
  • 🤝 Multi-Modal AI

Tools & Frameworks:

⚙️ Full-Stack Development

ARCHITECTURE MASTERY

Skill Level
Backend Arch ████████████ 96%
API Design ████████████ 95%
Database Arch ███████████· 92%
Frontend Dev ███████████· 90%
Microservices ██████████·· 88%
Cloud Deploy ██████████·· 85%

Core Specializations:

  • 🏗️ Scalable System Architecture
  • ⚡ High-Performance APIs
  • 🎨 Modern UI/UX Development
  • 🔄 Microservices Design
  • ☁️ Cloud-Native Solutions

Tools & Frameworks:

📊 Data Engineering

DATA MASTERY

Skill Level
Vector DB ████████████ 93%
Data Analytics ███████████· 92%
ETL Pipelines ██████████·· 88%
Data Viz ██████████·· 87%
BigData Proc █████████··· 82%
Streaming Data █████████··· 78%

Core Specializations:

  • 🔄 ETL Pipeline Architecture
  • 📈 Advanced Analytics & Insights
  • 🗄️ Vector Database Management
  • 🚀 Real-Time Data Processing

Tools & Frameworks:

🛠️ Full Tech Stack

Languages

AI / ML

Backend & APIs

Data & Databases

DevOps & Cloud

Design


🌐 Connect With Me

╔══════════════════════════════════════════════════════════╗
║  "The best AI systems are built by engineers who care    ║
║   as much about the problem as the solution."            ║
╚══════════════════════════════════════════════════════════╝

Pinned Loading

  1. AI-Assistant-using-RAG-LangChain-for-support-IT AI-Assistant-using-RAG-LangChain-for-support-IT Public

    un assistant intelligent interne capable de répondre de manière fiable aux questions des techniciens IT à partir d’un PDF de support IT (procédures, incidents, FAQ).

    Jupyter Notebook

  2. Facial-Detection_DeepLearning Facial-Detection_DeepLearning Public

    The SaaS application aims to detect faces and classify emotions using Convolutional Neural Networks (CNNs)

    Jupyter Notebook

  3. HR-pulse-ai-platform HR-pulse-ai-platform Public

    Production-ready AI platform combining Azure AI (NER), ML regression, Terraform IaC, FastAPI backend, Dockerized deployment and CI/CD automation.

    Jupyter Notebook

  4. ML-Pipeline-pr-diction-du-churn-client ML-Pipeline-pr-diction-du-churn-client Public

    Jupyter Notebook

  5. Hybrid-Analyzer Hybrid-Analyzer Public

    A fullstack application designed to automate the analysis of monitoring articles through the orchestration of two AI services.

    TypeScript

  6. NLP-Classification_Support_Tickets NLP-Classification_Support_Tickets Public

    End-to-end NLP batch pipeline for IT support ticket classification, covering data exploration, text preprocessing, embeddings with Hugging Face, supervised ML training, monitoring, and industrializ…

    HTML

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