Mohamed Saadi — Paris

Solution Architect AI.

My job is to close the gap between what AI research proves is possible and what enterprise teams can actually deploy, operate, and measure.

Over 10 years and 8 enterprise missions, I have brought each major AI paradigm from research concept to production system — for real teams, at real scale, with measurable business outcomes.

Wave I — Data 2017–19

When Big Data was still exotic in French enterprise, I built the production platform.

Wave II — Cloud Native & MLOps 2019–21

When MLOps was still a conference topic, I built the stack from scratch.

Wave III — Agentic AI 2021–Now

The research I did at LIP6/CNRS in 2016 is what the market now calls Agentic AI.

Full story & expertise →

10+ Data science teams served

9× Faster time-to-production

30% Infrastructure cost reduction

99.9% Platform uptime SLA

Experience

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EDF (via NeoStair EURL)

Senior Solution Architect — AI/GenAI Platform

Oct2021 - Current
EDF (via NeoStair EURL)

Solution Architect — AI/ML Platform

Oct2019 - Sep2021
EDF

Big Data Engineer

Oct2017 - Sep2019
Sanofi

Machine Learning Engineer — Time Series Forecasting

Feb2017 - Aug2017
LIP6 — CNRS Research Laboratory

Research Engineer — Multi-Agent Systems & Distributed AI

Nov2015 - Jul2016

Published Research — LIP6 / CNRS Paris, 2016

A Multi-Agent Negotiation Approach for Supply Chain Management

188 pages · The theoretical foundation of today's Agentic AI

→

Available for senior missions

Solution Architect AI · Agentic AI · MLOps · LLMOps · GenAI Platform
Paris region & remote · via NeoStair EURL