Ice Yao
Products Division Manager at 中国人才热线
Shenzhen, Guangdong Province, China
Summary
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RockstarIce Yao is a products division manager based in Shenzhen with 11 years of experience building cloud-native infrastructure and developer-facing products. He combines hands-on backend and DevOps expertise—particularly with OpenStack, Kubernetes, and LLM tooling—with product leadership at 中国人才热线. As an active open-source contributor, he enhanced the Dify LLM app platform by integrating cloud storage providers, new vector stores, and model providers, bridging product requirements with production-grade integrations. Ice is comfortable translating complex infrastructure needs into pragmatic features that accelerate prototyping to production for AI workflows. Colleagues rely on him to align cross-functional teams around scalable, observable systems while keeping a pragmatic focus on third-party integrations and automated testing. He brings a blend of technical depth and product sensibility that helps companies operationalize modern ML and cloud platforms.
10 years of coding experience
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
develop10
python10
cloud-storage10
backend10
cloud-integration10
integrate9
integrations9
apidoc9
api9
data-integration9
llm8
devops8
llmops7
workflow-engine7
ai7
Programming languages (9)
Github contributions (5)
langgenius/dify
Aug 2024 - Oct 2024
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:3 reviews, 30 PRs, 22 comments in 2 months
Contributions summary:Ice contributed to the Dify project by integrating support for various cloud storage providers like Volcengine TOS and enhancing the infrastructure configuration. They also added support for Fireworks AI model provider, integrating it into the LLM framework. Furthermore, the user focused on adding new vector providers such as VikingDB, and updating the dependencies used in integration tests. The commits demonstrate expertise in expanding the platform's capabilities and improving its integration with external services.
agentaianthropicbackend-as-a-servicechatbot
yaoice/blog-images
Jul 2023 - Mar 2025
Contributions:131 pushes, 1 branch in 1 year 8 months
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