AI SYSTEMS · DOCUMENT INTELLIGENCE · FORECASTING

Turn scattered data into systems that do the work for you.

I design and build AI systems that eliminate repetitive work, turn scattered data into decisions, and integrate into the tools your team already uses.

AI systems, end to end · From messy data to a working app

Wala Eddine Ghazouani
Wala Eddine Ghazouani - Workspace

Where the work happens — Tunis

I build the whole system, not just the model.

I'm Wala. I build AI systems end to end — from raw data to a working app your team actually uses. Most projects I take on have the same shape: the answers are already in the data, but no one has time to find them. A thousand reviews no one read. A website losing conversions for reasons no one can name. I find the pattern, build the system, and make sure it stays solved — not just demo'd.

I start with what's costing you time or money. Half the time the fix is a script or a database view, not a model. If a spreadsheet formula beats a neural network, I'll tell you that too.

  • Based in Tunisia — remote worldwide
  • Data science engineering
  • End-to-end AI systems
  • Multi-agent architectures

When I'm not building systems, I'm analyzing football matches — formations, pressing triggers, transition patterns. Football and data are both pattern-driven. I just happen to get paid for one of them. For now.

>analyzing 10k reviews… $3.2M saved

03 — Problems I solve

Whether you're building an AI product, automating work nobody has time for, or trying to get answers out of data you already have — I build the system that solves it end to end.

04 — TELEMETRY
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Systems built from scratch
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Industries served
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Explainable outputs
04 — Evidence

Every system below started with a business problem — not an AI model.

— PRINCIPLE 01 —
ContextisKey.

WALA GHAZOUANI

Data scientists spend up to 80% of their time cleaning data, not modelingThe term "machine learning" was coined by Arthur Samuel in 1959The Transformer architecture behind modern LLMs was introduced in 2017Most AI projects fail from unclear problems, not weak modelsA model is only as honest as the data it was trained onData scientists spend up to 80% of their time cleaning data, not modelingThe term "machine learning" was coined by Arthur Samuel in 1959The Transformer architecture behind modern LLMs was introduced in 2017Most AI projects fail from unclear problems, not weak modelsA model is only as honest as the data it was trained on
05 — What I deliver

I build the whole pipeline, not just the model.

From scraping raw data to deploying a production app, every layer of the system is one person's responsibility — mine.

AI SYSTEM DEVELOPMENT

End-to-end AI products and multi-agent systems designed around your specific business problem.

WEB SCRAPING AND DATA COLLECTION

Reliable scrapers and pipelines that turn any source into clean, structured data.

DOCUMENT INTELLIGENCE

OCR, summarization, and extraction to automate document-heavy workflows.

AUTOMATION AND WORKFLOW

Connect your tools, automate repetitive tasks, and eliminate manual steps from your processes.

DATA ANALYSIS AND VISUALIZATION

Transform raw data into clear insights and interactive dashboards.

APIS AND INTEGRATIONS

Clean APIs that plug your AI system into the tools your team already uses.

DEPLOYMENT AND SUPPORT

Ship to production with monitoring, documentation, and post-launch support.

AI System DevelopmentAI AgentsWeb ScrapingData CollectionDocument IntelligenceWorkflow AutomationData AnalysisVisualizationAPI IntegrationsDeployment
11 — PROTOCOL

How we go from problem to a system that runs.

  1. WK 0

    Discovery

    We talk through the problem. You get a one-page plan.

  2. WK 1–2

    Prototype

    Working demo on your own sample data — not a mockup.

  3. WK 3–6

    Build & integrate

    Built against your real data, plugged into your tools.

  4. DEPLOY

    Deploy

    Live in your environment, with monitoring.

  5. SUPPORT

    Support

    I stay on for fixes and adjustments.

FAQ

Common questions (5)

1. Why not just use ChatGPT?
2. How long does a project usually take?
3. Do I own the code?
4. Can you work with our existing tools?
5. Is AI always the right solution?
08 — Let's talk

Every great system starts with one conversation.

>

30-minute call. No sales pitch. If AI isn't the right solution, I'll tell you.

Book a free call