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AI Engineer with 1+ years in Data Analysis, Full-Stack Development & Software Development.
Highly motivated and results-driven AI Engineer with a Master's degree in Artificial Intelligence and Data Science. Proven expertise in developing interactive Power BI dashboards, transforming complex datasets, and building AI-driven digital ecosystems. Proficient in full-stack development, machine learning applications, and IoT systems, with a strong foundation in Python, NLP, and various data analysis tools. Dedicated to leveraging AI for innovative solutions and improving operational efficiency.
Faculty of Science and Technology
Master of Science and Technology · Artificial Intelligence and Data Science
August 1, 2023 – June 30, 2025
Faculty of Science and Technology
Bachelor's Degree · Computer Science
August 1, 2020 – June 30, 2023
Yazaki Morocco - TFZ
Power BI Developer & Data Analyst
September 1, 2025 – December 31, 2025
Tanger-Tetouan-Al Hoceima, Morocco
Yazaki Morocco - TFZ
AI Engineer & Full-Stack Developer
February 1, 2025 – August 31, 2025
Tanger-Tetouan-Al Hoceima, Morocco
TE Connectivity - TAC
Software Developer
April 1, 2023 – June 30, 2023
Tanger-Tetouan-Al Hoceima, Morocco
Llama 3 Fine-tuned Chatbot
June 30, 2026 – Present
Smart chatbot fine-tuned for custom French language context using pre-trained model with FSTT dataset. Implemented advanced NLP techniques for French language processing and understanding. Integrated LangChain framework for enhanced conversational capabilities.
Comprehensive Machine Learning Application
June 30, 2026 – Present
Machine learning application for qualitative and quantitative data analysis with multiple algorithms. Implemented algorithms including linear regression, decision trees, and neural networks. Features include data visualization, model validation, result export, and comprehensive documentation.
Twitter Sentiment Analysis
June 30, 2026 – Present
Web application using PySpark MLlib for sentiment analysis model training on tweets. Containerized application with separate components for API, frontend, and Kafka message handling. Enabled efficient and scalable processing of tweet data with real-time sentiment analysis.
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying AI concepts. The blend of academic and professional experience, including a role as an AI Engineer & Full-Stack Developer, indicates a strong interest in practical application and continuous skill development. The diversity of projects (NLP, sentiment analysis, general ML applications) suggests adaptability and a broad interest in AI sub-fields, which is beneficial for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate lists teamwork, analytical skills, problem-solving, leadership, adaptability, and self-learning as soft skills. These align well with the collaborative and evolving nature of an AI Engineer role. The project diversity and experience in both AI/ML and full-stack development suggest a good operational fit for roles requiring end-to-end solution development.