Wen-Hsin HSIAO

Certifications & Achievements

• TOEIC Score: 855 - Demonstrates strong command of business English
• Proficient in academic and professional communication
• Experience as EMI (English as Medium of Instruction) Teaching Assistant

Practical Applications

• Conducted research presentations in English
• Collaborated with international teams on AI projects
• Technical documentation and report writing

Language Capabilities

• Native fluency in speaking, reading, and writing
• Expertise in both Traditional and Simplified Chinese
• Strong command of technical and business terminology

Professional Use

• Academic research and publication in Chinese
• Business presentations and client communications
• Technical documentation translation

Core Competencies

• RAG Systems - Building Retrieval-Augmented Generation agents with LLMs
• Multimodal AI - Cross-language task-oriented dialogue systems
• LLM Fine-tuning - Model optimization and deployment
• AI Integration - Enterprise-grade AI solution architecture

Projects & Experience

• Metaverse AI Multimodal Dialogue System development
• NVIDIA DLI Certified in Building RAG Agents
• AI Innovation Award winner

Programming Languages

• Python - Primary language for AI/ML development
• JavaScript - Frontend and full-stack development
• SQL - Database management and queries

Frameworks & Tools

• TensorFlow, PyTorch for deep learning
• React for web application development
• Git for version control
• RESTful API development

Analysis Capabilities

• Statistical analysis and hypothesis testing
• Data preprocessing and cleaning
• Predictive modeling and forecasting
• A/B testing and experimental design

Tools & Technologies

• Pandas, NumPy for data manipulation
• Matplotlib, Seaborn for visualization
• Jupyter Notebooks for analysis workflows
• Excel and Power BI for business reporting

Research Expertise

• Academic research methodology
• Literature review and synthesis
• Experimental design and execution
• Critical thinking and evaluation

Experience

• Research Assistant at National Taipei University
• Published research in AI and multimodal systems
• Conducted industry analysis for business insights

Collaboration Skills

• Cross-functional team coordination
• Effective communication across technical and non-technical stakeholders
• Agile development practices
• Conflict resolution and consensus building

Experience

• Teaching Assistant for multiple courses
• Collaborated on AI research projects
• Worked with international teams

Problem-Solving Approach

• Analytical thinking and root cause analysis
• Creative solution development
• Data-driven decision making
• Systematic troubleshooting

Applications

• AI system optimization and debugging
• Business process improvement
• Technical challenge resolution
• Innovation in AI applications

Presentation Capabilities

• Clear and engaging communication
• Visual storytelling with data
• Audience adaptation and engagement
• Technical concept simplification

Experience

• Research presentations at academic conferences
• Teaching assistant delivering course content
• Project demonstrations to stakeholders
• Competition pitches and award presentations

Building RAG Agents with LLMs

This comprehensive certification covers:

• Advanced RAG (Retrieval-Augmented Generation) techniques
• Large Language Model fine-tuning and deployment
• Enterprise-grade AI solution architecture
• Performance optimization and scaling strategies

Completed with distinction, demonstrating proficiency in cutting-edge AI technologies and their practical applications in business environments.