AI Engineer, LOGOLO
type: Contractor, Remote period: Sep 2025 - Present New Westminster, Canada
- Developed an AI grading system for national legal examinations providing real-time feedback with 95% accuracy.
- Designed a parallelized AI architecture that accelerated the grading process by 90% over manual methods.
AI Engineer, Genibuilder
type: Full Time period: Sep 2024 - Aug 2025 Taipei, Taiwan
- Engineered a conversational AI agent to replace aesthetic clinic consultants, automating the advisory process for real-time response and reducing client operational costs by 80%.
- Utilized a multi-agent architecture with the DSPy concurrent framework, RAG, Database design, and context engineering.
- Designed an AI system realistically simulating user-product interactions, reducing manual validation time by over 80%.
- Developed an AI-powered data extraction pipeline to automatically deliver authentic client chat logs for the R&D team.
AI Engineer, Compal Electronics
type: Intern period: Jul 2024 - Aug 2024 Taipei, Taiwan
- Conducted researches about knowledge graph, RAG, LLM agent, LLM fine-tuning for product improvement.
Research Intern, IIS, Academia Sinica
type: Intern period: Jul 2023 - Mar 2024 Taipei, Taiwan pi: Dr. Meng-Chang Chen
- Trained the Trans Family and SecureBERT models to generate the embedding of the knowledge graph for classification.
- Trained GraphSAGE, GCN, and GAT models to detect malicious behaviors in Windows system log with about 83% recall.
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