Ghofrane khalfallah

• Developed and refined prompts based on real user feedback to enhance chatbots and LLM interactions. • Implemented various prompt management strategies to improve conversational flow and response relevance.

• Leverage LangChain and LlamaIndex • Experiment with Open-Source LLMs and OpenAI LLMs • Develop solutions with fine-tuning and RAG • Optimize chatbot performance • Prompt engineering • Graph databases / vector databases • Conduct testing and iteration • Ensure security and compliance

✓ Developed a high-accuracy predictive system using TensorFlow, CNN, and Keras. ✓ Handled vast amounts of data efficiently through data preprocessing, augmentation, and hyperparameter tuning. ✓Achieved significant accuracy in image recognition and classification tasks. ✓ Integrated the predictive system with a user-friendly dashboard using React.js and Flask. ✓ Built the backend in Flask for seamless data handling and user interaction.