const timWei = {
location: "Taipei, Taiwan 🇹🇼",
education: {
degree: "M.S. in Data Science",
school: "Tamkang University",
gpa: 94.23,
rank: "2nd in Department"
},
currentRole: "AI/ML Algorithm Engineer @ 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: [
"ML Recommendation Systems & Model Fairness Evaluation",
"RAG System Architecture Design & Enterprise Mentoring",
"Graph Neural Networks for Traffic Prediction"
],
philosophy: "Bridging the gap between academic research and real-world applications"
};
 AI + Physics + Statistics Merged Deep Learning with Shockwave Theory for traffic prediction - a first in the field |
 Academic → Real World Transform research papers into deployed web applications with live demos |
 Award-Winning Projects Multiple national competition awards with industry recognition |
-National_Highway_Traffic_Competition_2025-FFD700?style=for-the-badge){kind=icon}
| 🎤 | 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
Designing & deploying AI/ML solutions at one of the Big Four accounting firms
| 🤖 | RAG System Design | Leading architecture design & development of internal RAG knowledge management system |
| 🛒 | ML Recommendation | FamilyMart project: Real-time product recommendation based on user behavior, profiles & nutritional data |
| 📊 | AI Model Evaluation | Assessing enterprise clients' ML model fairness, explainability & AI capability metrics |
| 🎓 | Enterprise Mentor | Teaching RAG technology at NTU Accounting Dept. as EY corporate mentor (Feb - Jun 2026) |
Core Competencies:
- Enterprise RAG architecture design & LLM applications
- ML recommendation system modeling & real-time inference
- AI model fairness & explainability evaluation
|
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
Continuously sharing technical knowledge and project experiences
| 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!