Lishuai Jing

Infrastructure as Intent: World Models for Autonomous Cloud Deployment 

While AI has accelerated coding speed, the path to production is still blocked by the "Deployment Gap" and fragile manual configurations. This talk introduces Syncable, an autonomous cloud operating system designed to replace reactive scripts with verifiable, proactive agents. We will dive into our architecture, which fuses the reasoning power of Small Language Models (SLMs) with a high-performance Rust toolchain and Temporal Knowledge Graphs. Attendees will learn how we build a "World Model" of live software that translates developer intent into mathematically verified execution. Join us to discover how to make infrastructure deployment as fluid and rapid as modern code generation. 

Bio: Lishuai Jing is a visionary leader in AI and cloud innovation, previously serving as VP and Chief Data Scientist at goWish. With a PhD from Aalborg University , he specializes in combining Generative AI with robust DataOps and MLOps to deliver scalable, production-grade infrastructure solutions.