Is Mohamed Amine El Abidi available for a new role?

Open to new projects. He is based in Rabat, Morocco, has shipped remotely for teams in France, the UK and Morocco. The fastest way to check fit is the “Match a job” tool on this site or a 20-minute call.

What did he build at Orange?

Netix, an AI network support assistant: computer vision that reads router LEDs (RF-DETR Nano exported to ONNX, OpenCV), a realtime voice agent in French, English and Darija, and a FastAPI backend that opens and assigns the support ticket. Role: Applied AI Engineer, in a five-person Agile team.

Which AI stack does he use in production?

Python and FastAPI for services; LangGraph and LangChain for agents; RAG with Qdrant; Azure OpenAI, OpenAI and Groq models; ONNX and OpenCV for vision; n8n for automation; React and Next.js for interfaces; PostgreSQL, DuckDB and BigQuery for data; Azure and Vercel for deployment.

Is he a data engineer or an AI engineer?

Both, in the order the product needs. He has built data platforms and warehouses (CasaMotion, Radian, Upfund) and LLM agent systems (ARYA, Netix). The common thread is engineering that gets AI out of the prototype stage and into production.

Where can I see his code?

Public repositories are on GitHub (github.com/mohamedamineelabidi), including the ARYA multi-agent recruitment workflow and the CasaMotion data platform. Client and employer code stays private; the project pages on this site describe what was built and how.

How do I contact him?

Email elabidimohamedamine@gmail.com, LinkedIn (linkedin.com/in/meelabidi), or book a call directly from this site. The site agent can also take your details and forward them.

Mohamed Amine El Abidi | AI & Data Engineer

@ Mohamed Amine El Abidi

Resume

Mohamed Amine El Abidi / Rabat, Morocco

Most AI projects never leave the prototype stage. I build the engineering around them: agents that follow rules, computer vision that runs live, data systems built for real load. Designed clean, shipped to the cloud.

Explore projects Book a call

About me

From LangGraph agents and RAG to data pipelines and warehouses, I own the whole chain: data, model, API, interface, deployment.

More about me

0M+
open-access papers searchable in LitFlow
0
AI agents running in production for Arya
0%
less manual research for Upfund clients
0%
lower support cost per Netix incident
projected
0%
faster network diagnosis with Netix
target

Experience

From national census data in 2024 to leading an AI product team at Orange: roles where I owned the outcome, from data and models to API and interface.

Jun 2026 - nowRabat

Applied AI Engineer

Orange

Building Netix, an AI-powered network support platform that combines computer vision, generative AI and multilingual voice assistance to help customers diagnose connectivity issues.

Architecture and delivery across frontend, backend and AI workstreams in a five-person Agile team; sprint planning and code reviews.
Troubleshooting workflows built on LLMs, RAG and AI agents; FastAPI services and a React interface.
Computer vision pipelines for router status, LED detection and cable verification.
Conversational AI in French, Darija and English, by text and voice.

FastAPI
React
ONNX
OpenCV
RAG
LLM agents
Voice AI

Jan 2026 - nowSelf-employed

Founder & Builder

LitFlow

A research platform that aggregates 200M+ open-access papers from seven academic databases into one search, with bulk download and AI summaries. Private beta live.

Python
FastAPI
AI summarization
Academic APIs
SaaS

Aug 2025 - Jan 2026Paris, remote

Data & AI Engineer

Upfund

Production AI and data systems for enterprise clients in real estate and e-commerce.

FastAPI
Angular 17
Vertex AI
Qdrant
Gemini
n8n
PostgreSQL
Airflow
Docker

Feb 2025 - Sep 2025London, remote

AI Agent Engineer

Valhko

Architected and deployed the agent-based intelligence layer of Arya, Valhko's HR platform: a six-agent recruitment system running on Microsoft Azure.

LangChain
FastAPI
Azure OpenAI
GPT-4
Vector DB
Azure
LLMOps
Docker

Aug 2024 - Dec 2024Rabat

Data Collector

Haut Commissariat au Plan

National census 2024. Automated data validation across 50+ collection sites, raising accuracy by 30% and cutting processing time by 40%.

Data quality
Field operations
Cloud data entry

Jul 2024 - Sep 2024Casablanca

Data Scientist, intern

Epineon.AI

Large-scale demographic datasets managed on a cloud platform with strict integrity standards; real-time workflow optimization with field teams.

Python
Machine learning
Data analysis

Sep 2023 - Jul 2024Remote

Data Scientist, apprenticeship

ExploreAI Academy

End-to-end data science training with project delivery: preprocessing and feature-engineering pipelines cutting training time by 40%, regression, classification and deployment. Earlier Data Analyst track with Power BI KPI dashboards. Graduated with the Data Scientist designation.

Python
Scikit-learn
Pandas
Power BI
SQL
Model deployment

A selection of AI, data and full-stack projects: production agents, real-time data platforms and computer vision.

View project →

Questions people ask

Straight answers, the same ones the site agent gives.

Is Mohamed Amine El Abidi available for a new role?: Open to new projects. He is based in Rabat, Morocco, has shipped remotely for teams in France, the UK and Morocco. The fastest way to check fit is the “Match a job” tool on this site or a 20-minute call.
What did he build at Orange?: Netix, an AI network support assistant: computer vision that reads router LEDs (RF-DETR Nano exported to ONNX, OpenCV), a realtime voice agent in French, English and Darija, and a FastAPI backend that opens and assigns the support ticket. Role: Applied AI Engineer, in a five-person Agile team.
Which AI stack does he use in production?: Python and FastAPI for services; LangGraph and LangChain for agents; RAG with Qdrant; Azure OpenAI, OpenAI and Groq models; ONNX and OpenCV for vision; n8n for automation; React and Next.js for interfaces; PostgreSQL, DuckDB and BigQuery for data; Azure and Vercel for deployment.
Is he a data engineer or an AI engineer?: Both, in the order the product needs. He has built data platforms and warehouses (CasaMotion, Radian, Upfund) and LLM agent systems (ARYA, Netix). The common thread is engineering that gets AI out of the prototype stage and into production.
Where can I see his code?: Public repositories are on GitHub (github.com/mohamedamineelabidi), including the ARYA multi-agent recruitment workflow and the CasaMotion data platform. Client and employer code stays private; the project pages on this site describe what was built and how.
How do I contact him?: Email elabidimohamedamine@gmail.com, LinkedIn (linkedin.com/in/meelabidi), or book a call directly from this site. The site agent can also take your details and forward them.

Work with me

For hiring teams

Add me to your team

A Data & AI engineer who owns the outcome: model, data pipeline, API and interface, all the way to production. Currently leading the Netix team at Orange.