Maryleen Amaizu

Dr. Maryleen Amaizu is a Machine Learning Engineer at Redgate Software, specialising in synthetic data generation for the Test Data Management team. With a PhD and a strong background in machine learning and Internet of Things, she applies her expertise to develop innovative solutions that enhance data privacy and compliance in software testing. Previously, as a Principal Investigator at the Alan Turing Institute, she led a research project in collaboration with kunato.ai, focusing on building trust and combating misinformation with AI. Maryleen earned her PhD from the University of Leicester, where she designed performance-efficient, privacy-preserving machine learning systems for resource-constrained environments. Her global contributions to digital technology have been recognized with two Global Talent Visa Awards in the UK and Australia. She co-founded Glotale, a platform focused on attracting talents to booming locales and opportunities worldwide.

Maryleen Amaizu's Sessions

Evaluating the realism of synthetic data in DevOpsSQLBits 2025

Synthetic data is essential for training models, testing apps, and ensuring privacy. However, its quality evaluation varies by application. This session offers insights into assessing synthetic data's usability, accuracy, privacy, and key factors for effective production use.