Onyekachukwu Ojumah
Onyekachukwu Ojumah is an AI Engineer with a strong background in data analytics, cloud computing, and machine learning. She holds an MSc in Artificial Intelligence from the University of Huddersfield and a BSc in Computer Science from McPherson University, where she graduated as the Best Graduating Student.
Currently, Onyekachukwu works as an AI Engineer at Victorian Plumbing, where she designs and implements AI-driven solutions to optimize operational processes and drive business innovation. She has co-authored research papers on AI applications across various industries, exploring how AI can transform workflows and decision-making.
As the organizer of PyData Huddersfield, she leads a vibrant community of data professionals and enthusiasts, fostering collaboration and knowledge-sharing around AI and machine learning. Onyekachukwu has also spoken at notable events, including DataFest Africa and MLOps Lagos, where she shared insights on AI-driven data engineering, model optimization, and data strategies.
Sessions
Additive Manufacturing (AM) enables complex, high-performance components, but porosity defects can compromise structural integrity. Traditional porosity analysis in X-ray CT scans is manual, slow, and inconsistent. This talk introduces a deep learning-based approach using CNNs and segmentation models to automate porosity detection, enhancing accuracy and efficiency. Attendees will gain insights into pre-processing 3D CT scans, training AI models, and solving industry challenges.