takwa mekni

Developed a Retrieval-Augmented Generation (RAG) internal chatbot using LLMs to support real-time developer queries and documentation access. • Implemented LSTM autoencoders for anomaly detection in user behavior, improving evaluation accuracy by 25% and reducing false positives. • Designed reinforcement learning models to optimize warehouse logistics and operations. • Built recommendation systems using collaborative filtering and domain-specific logic. • Created incremental learning models for time-series forecasting and sales prediction. • Engineered deep learning solutions for object/person detection and image classification using TensorFlow. • Built voice recognition and keyword spotting tools for mobile interfaces. • Developed NLP-powered chatbots using AIML for mobile application integration. • Ledand supervised student final-year projects, providing technical and academic mentorship. • Collaborated cross-functionally to define project roadmaps and ensure timely AI deliverables. • Contributed to the deployment and integration of AI models within production environments.