Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Generative AI & MLOps.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 1, 2025
Benguerir, Marrakesh-Safi, Morocco
ONCF - Office National des Chemins de Fer
AI Engineer | Predictive Modeling & Energy Analysis
July 1, 2024 – September 1, 2024
Rabat, Morocco
OCP - Office Chérifien des Phosphates
Engineer | Embedded Systems & Industrial Data
July 1, 2023 – August 1, 2023
Benguerir, Marrakesh-Safi, Morocco
NLP 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.
Predictive Maintenance
June 29, 2026 – Present
Isolation Forest on NASA CMAPSS FD001; 1,032 anomalies detected, RUL per engine, Streamlit dashboard.
View ProjectAI 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, manufacturing, railway) and academic background in both signal processing and electronics/automation systems demonstrate a broad interest and adaptability. Their involvement in projects ranging from predictive maintenance to NLP and embedded systems indicates a versatile skill set. The target role of 'AI Engineer' aligns well with their current and past experiences, particularly the focus on Generative AI and RAG/LLM architectures. The candidate's profile suggests a proactive learner, evidenced by their certifications and continuous education.
Soft Skills & Operational Fit
The candidate's profile indicates a rigorous and passionate approach to designing and industrializing AI solutions. Their experience across multiple internships in diverse industrial settings (energy, manufacturing, railway) suggests adaptability and a strong work ethic. The psychometric test score (329/500) indicates average performance in areas like logical reasoning and work attitude, which could be further explored. The English test score (85/100) suggests good professional communication skills.