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Structure. Reasoning. Intelligence.
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Structure. Reasoning. Intelligence.

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YiboLi1986/README.md

👋 Hi, I'm Yibo

Most likely to Automate the Universe

2025: building reproducible LLM pipelines, automation systems, and ML infrastructure.

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  1. CODEMARKETV2 CODEMARKETV2 Public

    This project applies AI-assisted code generation to industrial process automation in the oil & gas / petrochemical domain. It enables entry-level process engineers to build valid JavaScript-based c…

    JavaScript 1

  2. AspenIncidentTrend AspenIncidentTrend Public

    This project aims to fine-tune an open-source Large Language Model (LLM) to build an enterprise-oriented email response drafting assistant for customer support teams.

    Python 1

  3. SonarQubeKPIRunner SonarQubeKPIRunner Public

    Automated pipeline to extract SonarQube quality KPIs and visualize them in Power BI.

    Python 1

  4. ASPENINCIDENTTRENDQA ASPENINCIDENTTRENDQA Public

    An MCP-based intelligent incident search and QA system that transforms historical customer emails and incident resolutions into a reusable knowledge base, enabling engineers to retrieve, reason ove…

    Python 1

  5. AIDRIVENTESTPROCESSAUTOMATION AIDRIVENTESTPROCESSAUTOMATION Public

    An engineering-grade, LLM-driven pipeline that transforms high-level Epics into complete test assets — Features, User Stories, Test Plans, Test Cases, and Playwright automation. Designed with step-…

    Python 1

  6. LLMEnd2EndReproduciblePipeline LLMEnd2EndReproduciblePipeline Public

    An end-to-end, reproducible LLM fine-tuning and inference pipeline under real GPU constraints, with artifact-based replay and OpenAI-compatible serving.

    Python 1