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⚡ AI & Business Process Automation · Production Ready

I build
RAG Pipelines
for production.

I help businesses eliminate manual processes, cut costs, and scale faster — with custom AI built for production, not just demos.

  • Save 10–30h/week automating document & data tasks
  • Cut AI costs by up to 73% with production-grade caching
  • Go live in weeks, not months — fully tested
7
AI Systems
50+
Workflows Built
73%
Cost Reduction
Latency: 38msActive

User Query

Unstructured Docs

Input

Embedding & Chunking

sentence-transformers · 512 tok

18ms

Qdrant + Hybrid Search

BM25 · Dense vectors · Top-5

12ms

Claude / LLM Synthesizer

Production Output · Azure

8ms
Latency:38msThroughput:1.2k/sUptime:99.98%
RAG Pipeline v2.4.1prod · azure-eastus
Ayoub Habib Eddine

Automation Specialist · Morocco

Ayoub Habib Eddine

Automation Specialist

My background isn't CS - it's logistics. Six years co-running a moving company taught me that a workflow is only good if it survives real failure. Now I build production-grade AI: RAG pipelines, LLM platforms, and automation at DXC Technology and Ark-x.

Casablanca, MoroccoRemote · On-siteFR · EN · AR
7
AI Systems Built
50+
Workflows Deployed
73%
Cost Reduction
4
Certifications

Why work with me

Problems I solve.

Incidents written on paper, hard to find at audit time

Every case recorded in under two minutes, with a complete history

Full history in under 2 min

KPIs rebuilt by hand in Excel each month

Indicators calculated automatically from the records

Auto-calculated, always live

Staff interrupt a manager to ask which procedure applies

An assistant answers from your own documents and cites the source

AI answers from your own docs

Sensitive data that cannot go to the cloud

A system hosted on your premises, with only anonymised text sent to AI services

Local model, zero cloud exposure

Deadlines for maintenance and training tracked from memory

Automatic reminders before each due date

Alerts sent before each due date

My services.

From RAG pipelines to n8n workflows - systems engineered for reliability, not just demos.

Available

RAG Systems

Production-grade retrieval-augmented generation pipelines grounded in your company's real data.

  • Document ingestion and chunking pipeline
  • Vector search with source citations
  • Evaluation and quality monitoring
LangChainLangGraphOpenAIAzure OpenAIPineconepgvector
Available

Workflow Automation

End-to-end automation with n8n and Make — cutting repetitive manual work for your team.

  • Process mapping before any tool is chosen
  • Trigger-based pipelines with error handling
  • Team training and documentation
n8nMakeZapierWebhooksAPI Integration
Available

API Orchestration

Multi-service integrations: FastAPI backends, webhook handlers, and reliable data pipelines.

  • FastAPI service design and deployment
  • Webhook and event-driven architecture
  • Logging, retries, and failure recovery
FastAPIPythonDockerPostgreSQLRedis
Available

AI Agent Development

LangGraph-powered agents with memory, planning, and tool use — deployed on Azure with Docker.

  • Agent architecture and tool definitions
  • Memory and state management
  • Containerised deployment with health checks
LangGraphLangChainAzure OpenAIDockerFastAPI
Available

Knowledge Graphs

Graph-RAG with Neo4j that surfaces relationships across documents and enterprise data sources.

  • Entity and relationship extraction
  • Graph schema design
  • Hybrid vector + graph search
Neo4jLangGraphPythonFastAPI
Available

Voice AI Agents

Conversational voice agents that handle real calls — powered by ElevenLabs, Vapi, and LangGraph with human-like latency.

  • End-to-end voice pipeline (STT → LLM → TTS)
  • Telephony integration via Vapi or Twilio
  • Custom voice cloning and persona design
ElevenLabsVapiTwilioWhisperLangGraphFastAPI

Recent work.

Production systems at DXC Technology, Ark-x, and beyond.

73%

LLM cost reduction

73% Cost ↓~97% Accuracy
DXC TechnologyFeb – Aug 2026

AI Watch - Enterprise RAG Platform

Full-stack LLM platform with automated document ingestion, Azure OpenAI integration, and knowledge graph synthesis. Two-tier caching (Redis + Supabase) cut API costs by 73%.

Docs · APIs→
LangGraph · Neo4j→
Redis · Supabase
FastAPILangGraphNeo4jRedisAzure OpenAIDocker
Discuss project
Production Ready
DXC TechnologyMay – Aug 2026

ComGenAI - Communication Generator

RAG-based system generating enterprise communications from unstructured documents. 8-service Docker stack on Azure VM with auto-TLS and health checks.

60–80%drafting time reduced
Documents→
LangGraph · GPT-4→
Docker · Azure
FastAPILangGraphAzure OpenAIDockerSupabase
Autonomous
Ark-xDec 2025 – Feb 2026

Ahlan - Multimodal Hospitality Concierge

Voice + text AI concierge for hospitality, used as a flagship enterprise demo. Handles check-ins, recommendations, and guest requests autonomously.

65%front-desk requests reduced
Voice · Text→
RAG · LangChain→
n8n · OpenAI
n8nRAGVoice AILangChainOpenAI
Personal Project

Moroccan Constitution Chatbot

RAG pipeline grounding an LLM in the full Moroccan Constitution. Answers legal questions with cited articles, deployed as a conversational interface.

400+ legal articles indexed
PythonLangChainVector DBFastAPI+1
Ark-x

Intelligent ATS Automation System

Hackathon project automating resume screening and candidate scoring. Led the team to build an end-to-end pipeline integrating job descriptions with candidate profiles.

85%screening time cut
n8nOpenAIMakeZapier+1
Personal Project

LinkedIn Content Generator

Automated content pipeline generating AI-themed LinkedIn posts, scheduling them, and tracking engagement - zero manual effort after setup.

n8nOpenAILinkedIn APIMake
Medical Laboratory — MoroccoDemo

AI-Assisted Quality Management System

Local web application covering non-conformity register, KPI dashboard, purchasing, staff onboarding, regulatory watch and Excel export. AI layer runs behind a privacy gateway.

ReactFastAPIPostgreSQLDocker+1

My method

How I work.

01

Start on site

I visit the business, follow real cases from start to finish, and note where time is lost.

02

Map the work before the tools

Each repetitive task is written down: what triggers it, who does it, how often, and what goes wrong.

03

Show a working demo within days

You click through your own screens with sample data before committing to anything.

04

Build in phases

One useful module at a time, each validated by your team before the next begins.

05

Stay after delivery

Updates, backups and support are handled remotely, with on-site visits only when needed.

Ayoub Habib Eddine

Automation Specialist · Morocco

Ayoub Habib Eddine.

My background isn't CS - it's logistics. Six years co-running a moving company taught me that a workflow is only good if it survives real failure. Now I build production-grade AI: RAG pipelines, LLM platforms, and automation at DXC Technology and Ark-x.

0
AI Systems Built
0+
Workflows Deployed
0%
Cost Reduction
0
Certifications
ABOUT · PROFILEAvailable

AI & LLM

PythonFastAPIAzure OpenAI

Data Storage

RedisNeo4j

Infrastructure

Docker

What they say.

From colleagues and clients.

“J'ai travaillé avec Ayoub sur plusieurs projets et c'est quelqu'un sur qui on peut compter. Sérieux, efficace, et surtout curieux : il apprend vite et se tient toujours au courant des dernières nouveautés en IA. En peu de temps, j'ai vu ses connaissances évoluer de façon impressionnante. Je le recommande les yeux fermés — il apportera beaucoup à n'importe quelle équipe.”

SN
Soufiane Nouhas
Capability Manager Senior · DXC Technology
FR

“I highly recommend Ssi Ayoub. The team was very professional, punctual, and organized from start to finish.”

AM
Anass Mezroui
Client

“Thank you so much Ayoub and your team! You're serious, punctual people who do efficient and professional work.”

ZA
Zohra Akil
Client

Frequently asked questions.

Quick estimate

What is it worth to you?

10h
240
3ppl
120

Assumption: 70% automation rate · €25/hr

91 h

hours saved / month

≡11 working days / month
€2 275

estimated value / month

Calculate my exact ROIReply within 24 hours