Casablanca, Casablanca-Settat, Morocco
Final-year Engineering student at ENSA Khouribga, specializing in Data Engineering, Machine Learning, and Business Intelligence. Currently completing my 6-month Final-Year Internship (PFE) at Capgemini Engineering Morocco, where I'm building an AI-powered decision-support platform for warehouse slot optimization at a Stellantis production site (Kenitra, Morocco). The project combines capacity analysis, optimization algorithms (FFD), an AI assistant (RAG/LLM), Power BI reporting, and automated document generation. Core skills: Python · Power BI · Apache Kafka · Spark · FastAPI · Docker · Azure · Machine Learning · Deep Learning · NLP I'm passionate about building robust data pipelines, decision-oriented architectures, and high-impact industrial AI systems.
Building a Smart Warehousing Platform to optimize parts placement in a Stellantis industrial warehouse (Kenitra, Morocco). - Capacity Analysis Module: Python-based modeling of physical constraints (dimensions, weight, stackability) —porting and extending an existing Power BI semantic model. - FFD Optimization Engine: multi-criteria scoring and slot recommendation algorithm based on First Fit Decreasing logic. - RAG/LLM Assistant: AI-powered query interface over internal business rules using LangChain + Azure OpenAI. - Automated Specs Generation: PDF report auto-generated from platform outputs for Stellantis engineering teams. - Stack: Python, Streamlit, FastAPI, Power BI, Docker, Azure, pandas, LangChain.
- Designed and implemented an end-to-end Computer Vision pipeline for image analysis and strategic insights. - Built and fine-tuned object detection and classification models using YOLOv8 and Faster R-CNN (PyTorch). - Processed and prepared over 500 images with 100K+ annotations for training and validation. - Developed an interactive Streamlit application for real-time result visualization and performance analysis. - Worked on data engineering, model evaluation, and deployment to ensure production-readiness.
- Developed a multiplayer Scrabble game integrating real-time communication with Pusher. - Built the frontend using Angular, and designed RESTful APIs with ASP.NET and SQL Server backend. - Ensured smooth synchronization and optimized database queries for better user experience.