AYOUB BELLANI

AYOUB BELLANI

Marrakech, Morocco

AYOUB BELLANI

AI & Data Engineer | RAG Systems, Computer Vision
I am an Artificial Intelligence Engineer with a Master's degree, specializing in translating complex data into scalable, real-world web applications. I build custom, end-to-end AI architectures from training machine learning models to deploying the full-stack web interfaces that control them.

My approach combines advanced AI research with robust software engineering to deliver functional, high-performance tools.

My Core Services & Expertise:

NLP & RAG Systems: Building semantic search pipelines, intelligent document parsing, and clinical/technical decision support systems using custom logic and embeddings.

Computer Vision: Developing object detection models (including YOLO architectures) and fine-grained visual recognition pipelines for automation, manufacturing, or categorization.

Data Engineering & Edge AI: Setting up automated web scraping pipelines, edge-to-cloud data acquisition, and real-time monitoring dashboards using time-series databases.

Full-Stack Development: Delivering complete, containerized solutions using Python (Django, FastAPI), React, Tailwind CSS, Docker, PostgreSQL, and TimescaleDB.

What I Can Build For You:
Whether you need a specialized matching engine, a smart industrial supervision dashboard for live sensor data, or an automated data extraction tool, I handle the complete lifecycle. I prioritize clean code, secure databases, and seamless user experiences.

Let’s discuss your project needs and build a data-driven solution that gives you a competitive edge.

Working hours

  • Monday:08h00 To 18h00
  • Tuesday:08h00 To 18h00
  • Wednesday:08h00 To 18h00
  • Thursday:08h00 To 18h00
  • Friday:08h00 To 18h00
  • Saturday:Not available
  • Sunday:Not available
  • Web Scraping
    Web Scraping
     50 $ 
    Scraping any website and extracting relevant information from it, using Selenium, Scrapy, or BeautifulSoup.
  • RAG integration
    RAG integration
     100 $ 
    Integrating RAG architecture into any service or chat to make LLMs use internal data as a source of their answers.
6 month project of building a Clinical Decision Support System for a hospital, integrating AI via RAG architecture.
  • 🇬🇧 English
  • 🇫🇷 French
  • 🇲🇦 Arabic
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