Prompt engineering is rapidly emerging as a critical skill for anyone working with Large Language Models. This session will demystify the process, blending the art of intuitive communication with the science of structured querying. We will cover core concepts such as prompt structure, context injection, and task specification, alongside practical strategies for eliciting creative text generation, accurate information retrieval, and effective problem-solving from LLMs. Learn how to master the nuances of prompting and unlock the full potential of these powerful AI tools.

Dr. Roushanak Rahmat is a Google Developer Expert and AI Strategy Leader with a PhD in Artificial Intelligence, specialising in computer vision and image processing. She has designed and delivered AI and Generative AI solutions for leading organisations including IBM, NHS, Elekta, Coca-Cola, Lloyds, and Scottish Power — turning complex challenges into impactful business outcomes.

Currently serving as Lead Data Scientist at IBM Consulting, Dr. Rahmat drives AI and GenAI strategies for clients in healthcare, finance, and energy. Previously at Elekta, she spearheaded AI innovation projects to enhance radiotherapy treatment through advanced deep learning models and multimodal imaging data. Her technical expertise spans MRI, CT, CBCT, and large-scale data analysis using Python, PyTorch, Keras, TensorFlow, and Jax.

Beyond her technical leadership, she is a passionate advocate for AI ethics, diversity, and inclusive innovation. As a Women Techmakers Ambassador and an active public speaker, she shares insights on AI development, adoption, and strategy through Medium articles, YouTube videos, and open-source contributions.

Dr. Rahmat excels at bridging the gap between technical teams and strategic stakeholders, fostering collaboration, and making AI accessible to all. Portfolio: roushanakrahmat.github.io