Bio

Cornelia's career has spanned several major shifts in software, from image processing algorithm development to web-centric computing in the late 90s, and then more than a decade working in cloud-native software, infrastructure and platforms (Cloud Foundry, Kubernetes and friends). Those experiences in distributed systems, combined with a longstanding interest in programming models, led her to Temporal where she is helping to bring a new programming paradigm to an industry that was increasingly in need of one - a need that has accelerated dramatically with the advent of modern AI systems. Much of her work today focuses on the architectural needs and evolving practices of these AI systems. Her current research explores asynchronous processing and the development of AI-native distributed systems abstractions, with an emphasis on the emerging patterns and programming models shaping this new era of software. She is the author of Cloud Native Patterns: Designing Change-Tolerant Software.

Session (1)