# Mohamed Amine El Abidi > AI & Data Engineer, based in Rabat, Morocco. Open to new projects. I turn AI into working products. Applied AI engineer on Netix at Orange (computer vision + voice assistant for network diagnosis), AI agent engineer at Valhko and Data & AI engineer for Upfund in Paris. Since 2024 I have shipped agents, data platforms and full-stack products for clients in France, the UK and Morocco. ## Facts - Name: Mohamed Amine El Abidi - Role: AI & Data Engineer - Location: Rabat, Morocco (remote-friendly) - Availability: Open to new projects - Email: elabidimohamedamine@gmail.com - LinkedIn: https://www.linkedin.com/in/meelabidi - GitHub: https://github.com/mohamedamineelabidi - Book a call: https://calendar.app.google/TjwLEtZxASGzddyo7 - Languages: French, English, Arabic (Darija) ## Experience - Jun 2026 - now: Applied AI Engineer, Orange (Rabat). Building Netix, an AI-powered network support platform that combines computer vision, generative AI and multilingual voice assistance to help customers diagnose connectivity issues. - Jan 2026 - now: Founder & Builder, LitFlow (Self-employed). 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. - Aug 2025 - Jan 2026: Data & AI Engineer, Upfund (Paris, remote). Production AI and data systems for enterprise clients in real estate and e-commerce. - Feb 2025 - Sep 2025: AI Agent Engineer, Valhko (London, remote). Architected and deployed the agent-based intelligence layer of Arya, Valhko's HR platform: a six-agent recruitment system running on Microsoft Azure. - Aug 2024 - Dec 2024: Data Collector, Haut Commissariat au Plan (Rabat). National census 2024. Automated data validation across 50+ collection sites, raising accuracy by 30% and cutting processing time by 40%. - Jul 2024 - Sep 2024: Data Scientist, intern, Epineon.AI (Casablanca). Large-scale demographic datasets managed on a cloud platform with strict integrity standards; real-time workflow optimization with field teams. - Sep 2023 - Jul 2024: Data Scientist, apprenticeship, ExploreAI Academy (Remote). 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. ## Projects - [Netix](https://mohamedamine.is-a.dev/projects/netix): AI network assistant (Orange). Assistant for home network diagnosis: computer vision reads router LEDs (RF-DETR Nano exported to ONNX, OpenCV), a realtime voice agent guides the customer in French, English and Darija, and a FastAPI backend creates and assigns the support ticket. - [ARYA](https://mohamedamine.is-a.dev/projects/arya): six-agent recruitment workflow. Six specialised agents (sourcing, screening, scoring, scheduling, outreach, reporting) coordinated with LangGraph, served by FastAPI and deployed on Azure for a recruitment team. Source: https://github.com/mohamedamineelabidi/Multiagent-Recruitment - [CasaMotion](https://mohamedamine.is-a.dev/projects/casamotion): real-time mobility data platform. Streaming platform for Casablanca mobility data: Kafka ingestion, PyFlink and Spark processing, a Bronze-Silver-Gold warehouse on PostgreSQL/PostGIS and live dashboards. Source: https://github.com/mohamedamineelabidi/CasaMotion - [Radian](https://mohamedamine.is-a.dev/projects/radian): job intelligence warehouse. Job-market intelligence pipeline: scheduled collectors, deduplication and scoring, DuckDB and BigQuery warehouse, with a dashboard that ranks opportunities by fit. ## Skills - AI Agents & LLMs: Multi-agent systems and RAG with LangGraph, LangChain, Azure OpenAI, Vertex AI, Gemini and Qdrant, deployed as real APIs. - Computer Vision: Object and LED detection with RF-DETR Nano exported to ONNX, OpenCV and HSV analysis, brightness and sharpness gating. - Programming Languages: Python and SQL every day; TypeScript and JavaScript for frontends and automation. - Backend & APIs: FastAPI services with SQLAlchemy, Pydantic and PostgreSQL, integrated with Celery workers, MinIO and REST integrations. - Voice & Multimodal AI: Realtime voice assistants and image input with OpenAI Realtime, LiteLLM routing and multilingual guidance (FR, EN, Darija). - Databases & Vector Stores: PostgreSQL, PostGIS, pgvector, Qdrant, Cassandra, MySQL and BigQuery for transactional, geospatial and semantic search workloads. - Data Engineering: Batch and streaming pipelines with Kafka, PyFlink, Spark, Airflow, dbt, DuckDB and Trino; Bronze-Silver-Gold warehouses on PostgreSQL and BigQuery. - Cloud & DevOps: Docker, GitHub Actions CI/CD and deployments on Azure, GCP and AWS; Linux and Kubernetes basics. - Frontend: React, Vite, TypeScript, Angular and Tailwind CSS for product UIs that talk to AI backends. - Automation & Integrations: n8n workflows, WhatsApp Business API and lead-generation automations wired to FastAPI and AI agents. - Leadership & Delivery: Team lead of five engineers at Orange, president of the DATAI Data & AI club, client delivery for teams in France, the UK and Morocco. - Machine Learning: scikit-learn, XGBoost and gradient-boosted models, evaluated against honest baselines before anything is published. - BI & Analytics: Power BI, Tableau and Grafana dashboards on top of clean data models; two years of data analysis before engineering. ## Questions and answers ### 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. ## Pages - [Home](https://mohamedamine.is-a.dev): profile, experience, projects, skills, contact - [Projects](https://mohamedamine.is-a.dev/projects): all projects with descriptions - [Skills](https://mohamedamine.is-a.dev/skills): full stack list - [Site agent](https://mohamedamine.is-a.dev/#agent): ask questions about the profile, match a job description, download a CV tailored to a role Last updated: 2026-09-07. Facts on this page come from the published profile; business figures marked projected are targets, not measurements.