const timWei = {
location: "Taipei, Taiwan 🇹🇼",
education: {
degree: "M.S. in Data Science",
school: "Tamkang University",
gpa: 94.23,
rank: "2nd in Department"
},
currentRole: "Full-Stack Developer Intern @ EY Taiwan",
highlights: [
"🥈 2nd Place (1st Place Vacant) - National Highway Traffic Competition",
"🏆 Best Popularity Award + Merit Award - Academia Sinica",
"🎤 Invited Speaker - 2025 Transportation Annual Conference",
"📊 Cross-disciplinary Researcher: AI × Physics × Statistics"
],
currentFocus: [
"Enterprise-level Full-Stack Development",
"Graph Neural Networks for Traffic Prediction",
"RAG Systems & AI Agent Development"
],
philosophy: "Bridging the gap between academic research and real-world applications"
};| 🎤 | Invited Speaker | 2025 Chinese Institute of Transportation Annual Conference |
| 📍 | Topic | AI-Powered Highway Traffic Prediction: Integrating Deep Learning with Physics-Based Shockwave Theory |
| 🏛️ | Hosted by | Taiwan Area National Expressway Engineering Bureau |
July 2025 - Present
Building enterprise-level solutions at one of the Big Four accounting firms
| 🖥️ | Frontend Development | Vue.js enterprise applications with complex business logic |
| ⚙️ | Backend Development | Python & Java microservices with Spring Boot architecture |
| 🤖 | AI Engineering | Building internal AI RAG system for knowledge management |
| 🎓 | Teaching (Upcoming) | Teaching Assistant at NTU Accounting Department (Feb - Jun 2026) |
| 🏢 | Scale | Enterprise-grade systems serving real business needs |
Key Learnings:
- Software architecture patterns for scalable applications
- Agile development in professional team environments
- Code review practices and quality standards
|
2nd Place (1st Place Vacant) National Competition |
Research Samples Participants N=672 Ages 19-61 |
User Clusters Discovered via GAP Analysis |
Behavioral Factors Novel Findings Including New Factor |
|
Azure Certs AZ-900, AI-900 DP-900 |
GPA Score Top 2 in Dept. Graduate Level |
Dual Awards Academia Sinica Single Competition |
First Application GAP in Online Behavior Research |
🥈 2nd Place Winner (1st Place Vacant) - 2025 National Highway Intelligent Traffic Competition
🎤 Invited to present at 2025 Chinese Institute of Transportation Annual Conference
|
|
┌─────────────────────────────────────────────────────────────────┐
│ Dual-Engine Parallel Architecture │
├────────────────────────────┬────────────────────────────────────┤
│ Deep Learning Engine │ Physics-Based Engine │
│ ┌──────────────────┐ │ ┌──────────────────┐ │
│ │ MT-STNet │ │ │ LWR Theory │ │
│ │ + GCN + Attn │ │ │ + Shockwave Det │ │
│ └────────┬─────────┘ │ └────────┬─────────┘ │
│ │ │ │ │
│ Long-term Prediction │ Real-time Detection │
├────────────────────────────┴────────────────────────────────────┤
│ Dynamic Strategy Selection │
├─────────────────────────────────────────────────────────────────┤
│ RAG-Powered AI Assistant │ Role-based UI (Driver/Manager) │
└─────────────────────────────────────────────────────────────────┘
🏆 Best Popularity Award + 🎖️ Merit Award - Academia Sinica Data Science Stroll 2024
|
|
| Aspect | Detail |
|---|---|
| Data Source | Taiwan Communication Survey (2021) |
| Sample Size | N = 672 participants |
| Age Range | 19-61 years old |
| Methods | GAP, PCA, Factor Analysis, CCA |
| Tools | Python, R, Statistical Modeling |
- Established a new theoretical framework for cyberbullying behavior analysis
- Provided paradigm reference for future online behavior studies
- Successfully communicated complex statistical findings to non-technical audiences
持續分享技術知識與專案經驗
| Platform | Topic | Status |
|---|---|---|
| 📰 Medium | AI-Assisted Development Experience | ✅ Published |
| 📝 Medium | Highway Traffic System Technical Deep Dive | 🔄 Coming Soon |
| 🌐 Blog | Cross-disciplinary Research Methodology | 📋 Planned |
I'm passionate about interdisciplinary projects that create real-world impact!
| 📈 Data-driven Web Applications |
📊 Interactive Data Visualization |
🔬 Statistical Analysis Tools |
🤖 AI-powered Applications |
🚗 Smart Transportation |
💬 Let's discuss: AI/ML, Traffic Systems, Full-Stack Development, Data Science Research
"The best way to predict the future is to create it."
🔬 Research-Driven · 💻 Code-Enabled · 🚀 Impact-Focused
⭐ Star my repos if you find them interesting!

