Profile

Engineer focused on AI applications and technical innovation, with a solid background in machine learning and deep learning. I specialize in turning cutting-edge technology into deployable, scalable systems.

Cathay Financial Holdings (OCR & Document Intelligence)

At Cathay, I led the build of a medical receipt OCR system: data preprocessing, Traditional Chinese PaddleOCR training and optimization, and table/text parsing. The system improved recognition accuracy and throughput and established a scalable intelligent document processing architecture.

Recent Focus (LLM, Agent, RAG, AIGC)

I now focus on LLM applications and AI IDE–driven development, with an emphasis on speed and security. Highlights include:

  • Introducing LLM as a Judge on a feedback platform to turn qualitative feedback into quantitative scores
  • Building an Agentic RAG architecture for the M365 knowledge assistant to support real-time customer support and knowledge retrieval
  • Building a conference news and trend summarization tool
  • Implementing a digital human video application to extend AIGC use cases

Current Research (Agent, MCP, Enterprise Architecture)

I am deepening work on AI Agent design and Model Context Protocol (MCP)—multi-agent coordination, tool orchestration, and safety boundaries—and aim to:

  • Refactor development workflows with AI IDE
  • Balance security and system stability with fast iteration
  • Establish sustainable enterprise-grade AI architecture

Value Proposition

I believe the value of AI lies not only in model capability but in how we integrate technology, process, and safety with an engineering mindset to deliver efficient, scalable intelligent applications.

Contact

Open to discussions on AI platform, Agent, RAG, or Realtime AI—consulting, development, or full-time roles.

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Contact on LinkedIn