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AI Engineer with 1+ years in Generative AI, MLOps & Python.
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State Engineer graduated from ENSA Tanger and currently enrolled in a Master's degree at the University of Lorraine, I design and industrialize robust, production-ready AI solutions tailored to real-world constraints. Currently interning at RTE, I am developing a RAG/LLM architecture aimed at automating critical documentary workflows. Passionate, rigorous and mobile across France and internationally, I will be available from October 2026.
University of Lorraine
M.Sc. · Signal Processing & Information Systems
August 1, 2025 – June 30, 2026
ENSA - École Nationale des Sciences Appliquées
State Engineer Degree · Electronics & Automation Systems
August 1, 2019 – June 30, 2025
RTE - Réseau de Transport d'Électricité
AI Engineer | Generative AI & RAG/LLM Architecture
April 1, 2026 – Present
Nancy, Grand Est, France
UM6P - Mohammed VI Polytechnic University
AI Engineer | ML & Industrial Automation
February 1, 2025 – August 31, 2025
Benguerir, Béni Mellal-Khénifra, Morocco
ONCF - Office National des Chemins de Fer
AI Engineer | Predictive Modeling & Energy Analysis
July 1, 2024 – September 30, 2024
Rabat, Morocco
OCP - Office Chérifien des Phosphates
Engineer | Embedded Systems & Industrial Data
July 1, 2023 – August 31, 2023
Benguerir, Béni Mellal-Khénifra, Morocco
Predictive Maintenance
June 29, 2026 – Present
Isolation Forest on NASA CMAPSS FD001; 1,032 anomalies detected, RUL per engine, Streamlit dashboard.
View ProjectNLP Sentiment Analysis
June 29, 2026 – Present
XLM-ROBERTa fine-tuned on 67k sentences, 100 languages, ~75% accuracy.
View ProjectEmbedded Motion Detection
June 29, 2026 – Present
X/Y/Z axis classification on microcontroller via Edge Impulse, on-device deployment.
AI Fundamentals
IBM SkillsBuild
January 1, 2026 – Present
Exploratory Data Analysis for ML
IBM / Coursera
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse internship experiences across different industries (energy, transportation, manufacturing) and countries (Morocco, France) suggest a high degree of adaptability and openness to varied work environments. Their involvement in projects like 'Predictive Maintenance' and 'NLP Sentiment Analysis' showcases initiative and a proactive learning attitude. The stated availability from October 2026, post-Master's degree, aligns with a long-term career trajectory. The breadth of technical skills, from embedded systems to advanced Generative AI, indicates a versatile individual who can contribute to different facets of an AI team. The focus on industrializing production-ready solutions aligns well with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's profile indicates a rigorous and passionate approach to AI solutions, with a focus on real-world constraints and production readiness. Their experience across multiple internships in diverse industrial settings (energy, railway, manufacturing) suggests adaptability and a strong work ethic. The ability to present results to business teams (ONCF internship) indicates good communication potential. The current enrollment in a Master's degree while interning at RTE demonstrates a commitment to continuous learning and professional development. However, without specific psychometric or English test scores, a full assessment of stress handling, team collaboration, and communication clarity is limited.