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MS-QKBGNHPINNKD\Administrator

PROFILE

Ms-qkbgnhpinnkd\administrator

Shixiaohe worked on intelligent document segmentation and data integrity improvements across two repositories. In YunaiV/ruoyi-vue-pro, Shixiaohe developed an AI-driven document segmentation strategy, introducing modular splitters for Markdown QA and semantic text, and enabling automatic detection of document types to optimize content slicing. This Java-based backend enhancement improved scalability and reduced manual intervention in knowledge extraction workflows. In somle2005/yudao-ui-admin-vue3, Shixiaohe addressed Snowflake ID precision loss by refining Vue.js frontend logic to preserve full ID accuracy, strengthening data consistency in UI detail views. The work demonstrated depth in both AI development and robust data handling using Java and Vue.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

2Total
Bugs
1
Commits
2
Features
1
Lines of code
847
Activity Months2

Work History

December 2025

1 Commits • 1 Features

Dec 1, 2025

Month: 2025-12 — YunaiV/ruoyi-vue-pro delivered an Intelligent Document Segmentation Strategy to automate and optimize document slicing for Markdown QA and semantic content. Key work includes introducing AiDocumentSplitStrategyEnum with five strategies, implementing MarkdownQaSplitter and SemanticTextSplitter, and enhancing AiKnowledgeSegmentServiceImpl to auto-detect document types and select the best slicing strategy. The AI module was enabled in the Maven project (pom.xml). A data-model fix changed AiKnowledgeSegmentPageReqVO.documentId from Integer to Long to support larger IDs. Overall, these changes boost accuracy, scalability, and automation for document-driven knowledge extraction, reducing manual effort and accelerating time-to-value for customers.

November 2024

1 Commits

Nov 1, 2024

November 2024 monthly summary for somle2005/yudao-ui-admin-vue3. Implemented a Snowflake ID precision fix to prevent precision loss in ID handling. By removing explicit Number casting in ID processing, full precision is preserved across detail views, eliminating potential truncation and mismatches. This change strengthens data integrity for ID-driven UI components and reduces risk in downstream analytics and navigation.

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage50.0%

Skills & Technologies

Programming Languages

JavaTypeScriptVue

Technical Skills

AI DevelopmentBackend DevelopmentFrontend DevelopmentJava DevelopmentVue.js

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

somle2005/yudao-ui-admin-vue3

Nov 2024 Nov 2024
1 Month active

Languages Used

TypeScriptVue

Technical Skills

Frontend DevelopmentVue.js

YunaiV/ruoyi-vue-pro

Dec 2025 Dec 2025
1 Month active

Languages Used

Java

Technical Skills

AI DevelopmentBackend DevelopmentJava Development