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AI Engineer with less than a year in web development and data science.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated junior engineer specializing in Data Science and Artificial Intelligence. Proven ability in full stack web development using frameworks like Laravel and React, coupled with strong analytical skills in machine learning and deep learning. Eager to apply technical expertise to innovative projects and contribute to dynamic teams.
ENSIASD Taroudant
Diplôme d'ingénieur en Sciences des données, Big Data et IA · Data Science et Intelligence Artificielle
August 1, 2024 – June 30, 2027
EST Agadir
DUT Génie Informatique · Génie Informatique
August 1, 2022 – June 30, 2024
Alloleadsolutions
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Rizk equipement
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Netalek services
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RecipeMind Système de recommandation par Intelligence Artificielle
June 29, 2026 – Present
Moteur de recommandation combinant K-Means et Random Forest sur plus de 500 000 recettes. Interface interactive Streamlit pour démonstration en temps réel.
Face AntiSpoofing Sécurité biométrique
June 29, 2026 – Present
Détection d'attaques par présentation (photo, masque 3D) avec Swin Transformer. Comparaison de 5 stratégies de transfer learning. Implémentation d'attaques adversariales FGSM et PGD, proposition d'Adversarial Training.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and initiative in AI and data science, aligning well with an AI Engineer role. The diversity of projects (recommendation systems, biometric security) shows a broad curiosity and willingness to tackle different problem domains. While the professional experience is primarily in full-stack web development, the academic focus on AI indicates a clear career trajectory towards AI engineering. The mention of 'Mention Bien' for their DUT suggests a commitment to excellence.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to learning and applying new technologies, as evidenced by their academic projects. Their experience in full-stack development, although not directly AI-focused, suggests a structured problem-solving approach and an understanding of system integration, which are valuable for deploying AI solutions. The descriptions are clear and concise, indicating good communication skills in a technical context.