From industrial IoT edge computing to cloud-native microservices, I architect systems that handle millions of data points daily — reliable, scalable, and production-ready.
10,000 particles — physics simulation, mouse gravity, word morphing
Building the future of industrial intelligence
As the project lead, I spearheaded the design and launch of the open-source community edition of the supOS IoT platform for SUPCON Group and contributed significantly to the commercial version's development. Additionally, I drove strategic initiatives for Geely Group from concept to implementation, ensuring project success through close collaboration with the O&M team to achieve continuous optimization.
Production-grade systems at scale
Core contributor to DingTalk AI 1.0's flagship "LTC (Lead-To-Cash)" solution. Responsible for prototype design, co-creation, technical delivery, and key implementation breakthroughs. Represented the product at the DingTalk AI 1.0 launch event, driving seven-figure revenue potential. Integrated VQI, SLA Intelligence, and AI Agent Automation to enable measurable productivity gains for enterprise clients.
The supOS Industrial Operating System integrates data from various devices and systems into one platform, transforming traditional industrial software into lightweight, on-demand apps. This "platform + apps" model drives digital transformation for smarter factories.
The supOS Community Edition focuses on openness and collaboration, enabling community-driven innovation. With a lightweight architecture and open-source foundation, it empowers developers to co-create for smart manufacturing.
The platform at Geely Holdings Group standardized forecasting, orders, shipment tracking, customs clearance, and claims processing. Streamlined multi-tenant operations through unified workflows and a data-driven approach.
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