Industrial & Industry 4.0 Engineer
I work where industrial operations meet modern software: automation and control on the field side, data, AI, and Industry 4.0 systems on the digital side, turning shop-floor signals into clean systems people actually use to run a plant better.
Multidisciplinary by design
About Me
I'm a multidisciplinary engineer by design, not by accident. My background runs across four layers that most engineers only touch one of: electrical engineering, industrial automation, systems engineering, and software/AI. In a modern factory, the value is created by the people who can talk to the field instruments, the data and IT layer, and the management chain in the same week.
My foundation is industrial. I'm finishing a Master's in Industrial Technologies for the Factory of the Future at UM6P: smart factories, automation, MES integration (ISA-95 / IEC 62264), Lean 4.0, and data-driven operations. On top of that, I can build the digital systems myself: acquisition, dashboards, anomaly detection, and the AI layer. That's how I end up owning a problem end to end instead of handing it off.
Where I'm headed: operations and project management in an industrial environment. The path is deliberate: earn depth on the technical side first, then take responsibility one industrial project at a time.
Where the shop floor meets the software
What I Do
Industrial Operations & Continuous Improvement
Production performance, KPI and OEE tracking, root-cause analysis, and Lean methods (5S, PDCA, standardized work) applied to make a line safer, faster, and more reliable.
Automation & Control
PLC programming (TIA Portal, Unity Pro), SCADA supervision (Ignition), and real-time acquisition over industrial protocols (IEC 61850, Modbus, OPC-UA, Profinet), connecting field equipment to a usable data layer.
Industry 4.0 & Systems Engineering
MES integration, ISA-95 / IEC 62264, RAMI 4.0, and model-based systems engineering (SysML, UML) to structure complex industrial systems from requirements to verification.
Industrial Data & AI
Turning machine and process data into monitoring, anomaly detection, and decision support: condition monitoring, predictive-maintenance signals, and dashboards that surface deviations as they happen.
Industrial-first toolkit
Skills
Continuous Improvement & Quality
Industrial Operations & Automation
Industry 4.0 & Systems Engineering
Industrial Data & Reporting
AI & Machine Learning
Automation & AI Tools
Software Engineering
Design & Simulation
Real systems, from field signal to decision
Featured Projects
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Earning depth, one project at a time
Experience & Education
Baccalauréat — Mathematical Sciences
Secondary-school diploma with a focus on mathematics and physical sciences.
Licence in Electrical Engineering & Industrial Computing, FST Mohammedia
Foundation in electrical engineering, embedded systems, and industrial computing.
Innovation Intern, Capgemini Engineering
Built an IoT, sensor-based detection system using ML classification on embedded IMU data, with real-time signal acquisition and threshold-based alerting.
Full-Stack Developer Certification (Bootcamp), JobInTech, Casablanca
Intensive full-stack training (React, Next.js, NestJS) delivering production-style web applications.
Full-Stack Developer Intern, Ark-x Talent Factory
Built full-stack web apps with React, Next.js, and NestJS, delivering admin dashboards and APIs for real-world use cases.
Backend Developer Intern, Patho (Pubsilon)
Collaborated with senior developers in a professional team, building NestJS backend services and APIs.
Master's in Industrial Technologies for the Factory of the Future (TIUF), UM6P
Smart factories, automation, Industry 4.0, MES integration, ISA-95, Lean 4.0, continuous improvement, data-driven industrial operations, and systems engineering (SysML, MBSE).
Industrial Digitalisation Intern, OCP Ben Guerir
Drove an industrial digitalisation initiative on the electrical distribution network: acquired real-time data from field devices over four industrial protocols (IEC 61850, Modbus, OPC-UA, Profinet) into a centralized database, and built a supervision view surfacing live measurements, KPIs, and threshold alerts.
Agentic AI & ADAS Validation Engineering Intern, Capgemini Engineering
Systems engineering and AI on an industrial-grade validation platform for ADAS / autonomous vehicles. Led requirements elicitation, architecture, interface management, and verification planning (SysML, UML), and built an automated pipeline from test intent to execution and reporting, cutting validation time by 96% vs. the legacy manual process.
Leadership & Extracurricular
President, Cyborgs Robotics Club (UM6P)
2024 – 2025Led a multidisciplinary team across robotics, IoT, and AI projects. Ran Science Week showcases (1000+ visitors), a teacher-training workshop with OTED (OCP) in Sidi Bouatman, and a robotics workshop at the American School of Marrakech.
Organiser, UM6P Events
2024 – 2025Contributed to National Industry Day at UM6P (including a direct exchange with the Moroccan Minister of Industry and Trade), the LEGO Robotics Competition, and the OCP Beyond programme visit.
Languages
- ArabicNative
- EnglishAdvanced · IELTS Certified
- FrenchUpper Intermediate · DELF Certified
Let's talk
Get in Touch
I'm open to industrial operations, automation, and Industry 4.0 roles, and to relocation nationally and internationally.