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Scaling content understanding for billions of images is no easy feat. This talk dives into building extreme label classification models, balancing accuracy & speed, and optimizing ML pipelines for scale. You'll learn new ways to tackle real-time performance challenges in massive data environments.
Dr Kerry Halupka is a Principal Machine Learning Engineer with extensive experience designing and scaling high-performance systems in AI and distributed computing. Currently at Canva, Kerry focuses on advancing machine learning capabilities in content understanding and infrastructure, enabling intelligent solutions that serve millions of users globally.
Kerry’s expertise spans AI-driven content enrichment, computer vision, and large-scale machine learning pipelines. She has led the development of innovative systems that tackle complex challenges in automation, real-time processing, and extreme scalability. Throughout her career, she has worked across diverse industries, delivering impactful solutions and fostering collaboration between engineering, product, and design teams.
Passionate about building practical, scalable systems, Kerry is also committed to mentoring engineers and contributing to the broader technology community through knowledge sharing and thought leadership.
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