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Xiaojing Liu

PROFILE

Xiaojing Liu

Over three months, contributed to open-edge-platform/edge-ai-suites by building and refining end-to-end video and document processing features. Developed a video summarization pipeline that chunks videos, samples frames, and generates summaries using a visual language model, orchestrated through Python scripts for automated deployment. Enhanced the platform with metadata tagging, global summarization controls, and a migration from MinIO to local file storage, improving maintainability and data governance. Integrated OCR for handwritten PDFs, expanded content search with updated embedding models, and implemented configurable upload limits with robust error handling. Leveraged Python, FastAPI, and SQLAlchemy to deliver scalable, maintainable backend and AI-driven solutions.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

14Total
Bugs
0
Commits
14
Features
7
Lines of code
4,630
Activity Months3

Work History

May 2026

5 Commits • 3 Features

May 1, 2026

May 2026 – open-edge-platform/edge-ai-suites: Delivered OCR for handwritten PDFs with service-manager integration, enhanced content search, and configurable upload limits with improved user feedback. These changes enhance automation, search relevance, and user experience, while strengthening error handling and system reliability.

April 2026

8 Commits • 3 Features

Apr 1, 2026

April 2026 monthly summary for edge-ai-suites focused on delivering business value through feature-rich video processing, robust content search, and a storage backend migration. Key outcomes include improved data governance and searchability, enhanced UI-driven control of video summarization, and a streamlined, maintainable microservice startup lifecycle.

March 2026

1 Commits • 1 Features

Mar 1, 2026

March 2026: Delivered the Video Summarization and Processing Pipeline feature in open-edge-platform/edge-ai-suites. Implemented a robust workflow that chunks input videos, samples frames, and generates concise summaries using a visual language model (VLM). Added a start_services.py script to orchestrate and start the required video-processing services, enabling automated, repeatable deployments. This work establishes end-to-end video processing for automated content analysis and faster insights, with clear foundation for scaling.

Activity

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Quality Metrics

Correctness85.8%
Maintainability85.8%
Architecture85.8%
Performance85.8%
AI Usage47.2%

Skills & Technologies

Programming Languages

MarkdownPythonYAML

Technical Skills

AI DevelopmentAI integrationAPI DevelopmentAPI developmentBackend DevelopmentDatabase ManagementDevOpsDocumentationFastAPIMachine LearningMicroservicesModel OptimizationOCR integrationOpenVINOPython

Repositories Contributed To

1 repo

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

open-edge-platform/edge-ai-suites

Mar 2026 May 2026
3 Months active

Languages Used

PythonMarkdownYAML

Technical Skills

AI integrationFastAPIOpenVINOmachine learningvideo processingAPI Development