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 · MLOpsI 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.

Architecture, hands-on engineering and training to help your teams build and scale AI with confidence.
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 · MLOpsTurn 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 EngineeringShape 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 Training3GPP Knowledge Fabric brings together technical specifications, knowledge graphs and retrieval to support telecom AI research.
Explore the projectEntities and relationships connect concepts across the source material.
Industrial AI, experimental telecom, project coordination and teaching. Several activities run concurrently.
6 roles shown
Connecting product requirements, technical work and delivery.
Project management for Amanah and traceability initiatives, alongside my research career. The work connects needs, technical decisions and delivery coordination.
AI research where telecom knowledge meets GenAI and MLOps.
Contributions span technical knowledge systems, agentic workflows, reusable pipelines, cloud deployment and evaluation, alongside MLOps and reinforcement learning for RAN automation.
Industry AI research, laboratory partnerships and Agile coordination.
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.
Sharing the foundations and engineering practices behind AI.
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.
Experimental wireless research across frequency scales.
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.
A scientific foundation in MIMO, spatial modulation and wireless systems.
Research on MIMO spatial modulation, time-reversal precoding and receiver strategies for low-complexity wireless devices, combining theoretical analysis with experimental implementation.
INSA Rennes
Grenoble INP – Phelma
Lebanese University
My direction is toward broader R&D Director, Head of AI and CTO responsibilities, building on research, architecture, project coordination and teaching.
ESILV, professional training and practical courses in AI, MLOps, Python and telecom.
Explore teaching CONSULTANCY & DELIVERYArchitecture, technical decisions and coordination grounded in research and engineering.
Explore collaborationResearch collaborations, AI architecture, project delivery or a room full of curious learners. Let’s talk about what you’re building.
ali.mokh@gmail.com