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AI Engineer with less than a year in Generative AI & NLP.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Master's student in Computer Science and Telecommunications, specializing in Artificial Intelligence and Data Science. Passionate about Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP). Hands-on experience in developing intelligent chatbots, implementing RAG pipelines, and integrating modern AI tools. Knowledge of Machine Learning, Deep Learning, APIs, and Cloud technologies for building scalable AI applications.
Faculty of Sciences, Rabat
Master's Degree · Computer Science & Telecommunications – Artificial Intelligence
August 1, 2024 – June 30, 2026
Faculty of Sciences Ben M'Sik, Casablanca
Bachelor's Degree · Mathematics & Computer Science – Database Systems
August 1, 2020 – June 30, 2024
NearSecure
Generative AI Intern
October 1, 2025 – Present
India
RAG-based Intelligent Chatbot
June 1, 2025 – June 1, 2026
• Developed a chatbot using LangChain, LlamaIndex, and LLMs to answer questions from documents. • Implemented a RAG pipeline to generate contextualized responses.
Weather Data Analysis with Apache Spark
June 1, 2025 – June 1, 2026
• Processed and analyzed a large-scale weather dataset using PySpark. • Computed KPIs, analyzed trends, and developed a predictive model.
Recommendation System
June 1, 2025 – June 1, 2026
• Developed a recommendation system using Python and Scikit-learn.
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' exam, indicating a very strong grasp of the subject matter and related skills.
Strengths
Cultural Fit Analysis
The candidate's profile shows a strong alignment with an AI Engineer role, specializing in Generative AI and NLP. Their academic pursuits (Master's in AI) and practical experience (Generative AI Intern, RAG chatbot projects) demonstrate a clear passion and focus. The diversity of projects (RAG chatbot, weather data analysis, recommendation system) indicates a breadth of interest within data science and AI. The candidate is currently pursuing a Master's degree, which suggests a commitment to continuous learning and staying updated with advanced topics in AI.
Soft Skills & Operational Fit
The psychometric test score is low (182/500), which might indicate potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. However, without further context or a detailed report, it's difficult to draw definitive conclusions. The candidate's project descriptions are clear and concise, suggesting good communication in written form.
Limitations