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timwei0801/README.md

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👋 About Me

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"
};


🌟 What Sets Me Apart


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

🏆 Achievements & Recognition

🎖️ Competition Awards

🎤 Speaking & Invitations

🎤 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

📊 Academic Excellence


💼 Professional Experience

Full-Stack Developer Intern | EY Taiwan

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

🛠️ Tech Stack

Languages & Frameworks

AI/ML & Data Science

Statistical Analysis

Tools & Infrastructure


📈 Impact By Numbers

🥈

2nd Place
(1st Place Vacant)
National Competition

672

Research Samples
Participants N=672
Ages 19-61

5

User Clusters
Discovered via GAP
Analysis

4

Behavioral Factors
Novel Findings
Including New Factor

3

Azure Certs
AZ-900, AI-900
DP-900

94.23

GPA Score
Top 2 in Dept.
Graduate Level

2

Dual Awards
Academia Sinica
Single Competition

1st

First Application
GAP in Online
Behavior Research


📊 GitHub Stats

GitHub Streak


🏅 GitHub Trophies


🐍 Contribution Snake

github-snake

🚀 Featured Projects


🔬 Project 1: AI-Powered Highway Traffic Prediction System

🥈 2nd Place Winner (1st Place Vacant) - 2025 National Highway Intelligent Traffic Competition

🎤 Invited to present at 2025 Chinese Institute of Transportation Annual Conference

💡 Innovation Highlights

🧠 Deep Learning Engine

  • MT-STNet (Multi-Task Spatio-Temporal Network)
  • Graph Convolutional Networks with highway topology
  • Spatio-temporal attention mechanisms
  • Generative inference to prevent error accumulation

🌊 Physics-Based Engine

  • LWR Traffic Flow Theory integration
  • Shockwave detection using Rankine-Hugoniot conditions
  • Real-time congestion propagation prediction
  • Precise arrival time estimation

🏗️ System Architecture

┌─────────────────────────────────────────────────────────────────┐
│                    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)   │
└─────────────────────────────────────────────────────────────────┘

🛠️ Tech Stack


📊 Project 2: Online Behavior & Cyberbullying Research

🏆 Best Popularity Award + 🎖️ Merit Award - Academia Sinica Data Science Stroll 2024

💡 Research Innovation

🔬 Methodology Breakthrough

  • First application of GAP (Generalized Association Plots) in online behavior research
  • Novel integration of 5 multivariate analysis methods
  • Complete analytical chain from exploration to prediction

📈 Key Discoveries

  • Identified 5 distinct user clusters via GAP analysis
  • Discovered 4 key behavioral factors
  • Novel finding: Conflict Tolerance as new factor

📋 Research Details

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

🎯 Impact

  • 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

📜 Certifications

☁️ Cloud & AI

📊 Data & Analytics

🌱 Others


📈 Activity Graph


📝 Technical Writing

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

🤝 Open to Collaboration

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


📫 Get In Touch


🌏 Languages


"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!

Pinned Loading

  1. Highway_trafficwave Highway_trafficwave Public

    AI-powered highway traffic shockwave detection and prediction system using MT-STNet deep learning model with real-time monitoring and intelligent decision support

    Python 2

  2. intelligent-viz-system intelligent-viz-system Public

    基於 AI 和機器學習的智能資料視覺化推薦系統

    JavaScript

  3. MVA-Internet-use-and-bullying MVA-Internet-use-and-bullying Public

    Vue 1

  4. timwei0801 timwei0801 Public

    Vue

  5. PPT_AutoMation PPT_AutoMation Public

    Python 1

  6. Datacase-Poker Datacase-Poker Public

    Python