With 16+ years of experience across AI, data, and technology, I lead teams that turn AI strategy into real impact—building systems people rely on day-to-day. I’ve worked across defense, mining, automotive, and energy, delivering AI systems and agentic workflows that automate real business tasks, support better decisions, and help organizations move from experimentation to scalable AI adoption.
What motivates me most is the space between business and technology. I like sitting with stakeholders long enough to understand what actually matters to them, then turning those needs into an AI roadmap, leading the team that brings it to life, and staying involved through the harder part: helping people change how they work. I focus less on what’s technically impressive and more on what creates value, gets adopted, and stays in use.
I also teach AI, from executive programs to university courses, because I enjoy helping people understand not just what AI can do, but how to turn it into something useful.
PhD in Applied Mathematics — ENSTA Paris (École Polytechnique doctoral school)
MSc in Optimization, Game Theory & Economic Modelling — École Polytechnique
Engineering Degree in Modelling & Scientific Computing — EMI, Rabat
AI strategy aligned to business objectives, with ROI quantified for the board
Change management and structured adoption, not just deployment
Cross-functional teams of up to 18 across AI, data science and operations
Selected AI systems I have designed and shipped. Walkthrough videos are being recorded — get in touch if you would like a live demo.
Smart systems to securely manage specific knowledge flow inside companies using LLMs and RAG.
Teams of specialized agents that plan a task, split it between them, and check each other's work before returning a result.
Build scalable AI platforms with infrastructure as code, CI/CD pipelines, and cloud-native architectures.
Computer vision system to help industrials extract content from images and videos.
Peer-reviewed research spanning optimal control and HJB equations, multi-agent LLM systems, machine unlearning and low-resource NLP.
Graduate and executive teaching at UM6P, INPT and ENSTA Paris. Course materials are free to download.
Descriptive statistics and advanced methods for inferential statistics
Methodology for translating business problems to AI problems and study of well-posedness
Store, collect and manipulate structured data
AI solution architecture: from identifying the business problem to deploying the AI model in production.
Concepts of ML and DevOps to productionize AI models and maintain efficiency
Organizations I have advised on AI transformation, optimization and digital strategy — as a consultant, technical lead or mentor.
2019 – 2020
Optimization and optimal control consulting for transport and energy system efficiency projects.
2024 – 2026
Collaborated with domain experts to translate complex industrial challenges into AI solutions.
2024 – 2026
Senior Scientist role with AI program delivery and advanced course development in AI and data science.
2010 – 2023
Technical and managerial leadership and mentorship.
2018 – 2023
Lecturer in probability, statistics, optimization, and Python for data science applications.
2020 – 2021
Audit and strategic analysis for all components related to governance, programs, administration, systems and business of an engineering school.
2021
World bank Study of African Road Safety Agencies
2019 – 2020
Optimal Temperature control inside refrigerated transport of foods
2020 – 2021
Strategic analysis and technical mentorship for emerging technology initiatives.
I am always open to discussing new projects, collaboration opportunities, or training sessions. Feel free to reach out to me via the form or my direct contact details.
Rabat, Morocco