const ziven = {
focus: [
"modern data stack",
"big data engineering",
"data lakehouse",
"analytics engineering",
"AI applications"
],
data: ["Spark", "dbt", "Lakehouse", "Data Lake", "Batch/Stream ETL", "SQL analytics"],
ai: ["RAG systems", "vector search", "knowledge tools", "AI-native products"],
stack: ["Python", "SQL", "Spark", "dbt", "TypeScript", "Astro", "Node.js"],
motto: "Make ideas useful, polished, and durable."
};现代数据科学与大数据技术实践者，主要关注数据湖、Lakehouse、Spark、dbt、分析工程和数据产品化。 同时持续构建 RAG、Agent、知识工具和 AI-native 应用，把数据系统和 AI 能力做成可落地的产品。
| Project | What It Is | Direction |
|---|---|---|
| iProfile | Bilingual personal blog with Astro, MDX, GSAP animations, Tailwind CSS, and dark mode. | Personal publishing, frontend craft |
| iResume | Intelligent resume builder for structured, polished resume generation. | AI productivity tool |
| iStudy | Intelligent study assistant platform for learning workflows. | AI learning product |
| feishu_ai_cli_agent | CLI agent experiments around Feishu/Lark automation workflows. | Agent, workflow automation |
|
Modern Data Stack Data lake, lakehouse, Spark, dbt, warehouse modeling, batch pipelines, stream processing, and analytics engineering. |
Big Data Systems Distributed compute, storage formats, SQL engines, ETL orchestration, observability, governance, and cost-performance tradeoffs. |
|
AI and Retrieval RAG production practice, LanceDB performance, vector database indexing, retrieval quality evaluation. |
Product and Tooling Feishu/Lark automation, CLI agents, Astro publishing, frontend interaction, and personal workflow systems. |