Hamna Moieez is a Machine Learning Scientist with the Industry team at Amii, where she works with clients to identify high-impact opportunities for AI adoption and advises them on machine learning best practices and strategies to meet their objectives.

She has over four years of experience in machine learning across industry and research. She has built and deployed production ML systems for early risk prediction in insurance claims, LLM-based document screening and validation, and generative AI models for image-to-image translation. She also holds a Master's degree in Computer Science, where her thesis research focused on self-supervised continual learning for satellite image segmentation.

When she is not working, she likes to travel or watch anime and movies.