ALI MOKH, PhD / AI RESEARCHER

Build scalable AI
for the real world.

I help enterprises turn fragmented, complex data into a connected context layer for their AI systems. I support engineering teams in designing, building and deploying AI at scale—on-premises or in the cloud—and train professionals through deep theoretical foundations and practical implementation.

BASED IN FRANCE
Portrait of Ali Mokh in his AI and engineering workspace
CONNECTING THE DOTSAI · Knowledge · Telecom
MLOpsGenerative AIKnowledge FabricsData EngineeringAI Strategy & AdvisoryTechnical Leadership
01 / WHAT I BRING

From complex data
to AI that works.

Architecture, hands-on engineering and training to help your teams build and scale AI with confidence.

01

AI Architecture & Engineering

Design and build AI systems around your business needs—from generative AI and agentic workflows to scalable MLOps pipelines. Deploy at scale, on-premises or in the cloud.

Generative AI · Agentic Systems · MLOps
02

Knowledge Fabrics & Data Engineering

Turn scattered documents, specialised databases and complex data into a connected context layer for AI. Combine data engineering, knowledge graphs and retrieval to deliver relevant, traceable answers.

Knowledge Fabrics · GraphRAG · Data Engineering
03

Technical Advisory & Training

Shape your AI roadmap, guide architectural decisions and help engineering teams build the expertise to deliver. Training combines deep theoretical foundations with practical implementations.

AI Strategy · Technical Leadership · Professional Training
03 / THE JOURNEY

Built on research.
Broadened by practice.

Industrial AI, experimental telecom, project coordination and teaching. Several activities run concurrently.

6 roles shown

2025May 2025 — present
Seiyaj Tech / Amanah

Project management

Connecting product requirements, technical work and delivery.

Role & contribution

Project management for Amanah and traceability initiatives, alongside my research career. The work connects needs, technical decisions and delivery coordination.

TraceabilityProject coordination
2023Oct 2023 — present
Ericsson France

Researcher Concept AI

AI research where telecom knowledge meets GenAI and MLOps.

Role & contribution

Contributions span technical knowledge systems, agentic workflows, reusable pipelines, cloud deployment and evaluation, alongside MLOps and reinforcement learning for RAN automation.

GenAIMLOpsTelecom
2021Jan 2021 — Sep 2023
Youree / FlexifAI

Research Engineer–Data Scientist & Scrum Master

Industry AI research, laboratory partnerships and Agile coordination.

Role & contribution

Responsible for signal-processing and AI research, including deep learning for time-series analysis and vehicle-to-grid applications. Work included AWS deployment, research partnerships with two laboratories, and facilitation of Agile/Scrum processes.

Deep learningTime seriesAWS
2019ESILV since 2019 · Orsys since 2021
ESILV & professional training

Lecturer & professional trainer

Sharing the foundations and engineering practices behind AI.

Role & contribution

Teaching AI, information theory, quantum information, Python and algorithmic complexity at ESILV; professional training at Orsys in 4G/LTE, 5G, machine learning and neural networks. The wider course portfolio includes MLOps and GenAI. Earlier teaching at ESIEA (2018–2019) covered electronics, robotics and microcontrollers.

TeachingMLOpsGenAI
20182018 — 2021
CNRS · Institut Langevin

Research Engineer / Postdoctoral Researcher

Experimental wireless research across frequency scales.

Role & contribution

Research on time reversal for ultra-wideband wireless systems and reconfigurable intelligent surfaces, combining analysis, simulation and experimental setups from sub-6 GHz through millimetre-wave and sub-THz frequencies.

Time reversalRISSignal processing
2018Doctoral research · PhD 2018
INSA Rennes / IETR

Digital communications research

A scientific foundation in MIMO, spatial modulation and wireless systems.

Role & contribution

Research on MIMO spatial modulation, time-reversal precoding and receiver strategies for low-complexity wireless devices, combining theoretical analysis with experimental implementation.

MIMODigital communications
THE FOUNDATIONS
2018

PhD, Digital Communications

INSA Rennes

2015

M2, Signal Processing

Grenoble INP – Phelma

2015

Telecommunications Engineering

Lebanese University

04 / BEYOND THE RESEARCH

Build. Share.
Move ideas forward.

My direction is toward broader R&D Director, Head of AI and CTO responsibilities, building on research, architecture, project coordination and teaching.

THE NEXT CONVERSATION

Good ideas deserve
thoughtful execution.

Research collaborations, AI architecture, project delivery or a room full of curious learners. Let’s talk about what you’re building.