Hi there, I'm David (Doowoong) Lee | 이두웅 👋

💡 About Me

I'm a passionate software engineer who thrives on diving deep into the fascinating world of low-level programming and cutting-edge AI. With an insatiable curiosity and a fast-learning mindset, I enjoy:

• 🚀 Exploring the intricate details of system architecture and low-level optimization
• 🧠 Staying current with the latest AI research papers and implementing novel approaches
• 🔬 Bridging the gap between theoretical AI advances and practical implementations
• 🔧 Tinkering with bare metal programming and system internals
• 💻 Building everything from kernel modules to neural networks
• 📚 Regular consumption and implementation of latest AI research papers

"The closer to the metal, the better the experience! And when combined with AI, the possibilities are endless!"

🔬 Core Interests

Low-Level Systems

• System Programming & Kernel Development
• Hardware-Software Interface
• Performance Optimization
• Memory Management Systems
• Real-time Systems
• Embedded Development

Artificial Intelligence

• Large Language Models & Transformers
• Neural Network Architecture Design
• AI System Optimization
• Machine Learning Infrastructure
• AI Research Paper Implementation
• Hardware Acceleration for AI

💻 Tech Stack

Languages & AI Frameworks

AI & ML Tools

Low-Level & System Programming

Modern Development Stack

🎯 Projects & Research Interests

Low-Level Adventures

• Building custom kernel modules
• Developing real-time operating system components
• Creating performance optimization tools
• Implementing hardware interfaces

AI Explorations

• Fine-tuning and optimizing transformer models
• Implementing custom training pipelines with Lightning
• Experimenting with efficient training techniques
• Building scalable data processing pipelines with 🤗 Datasets
• Exploring model deployment optimization

📚 Latest AI Paper Implementations

• Transformer architecture optimizations
• Efficient training techniques
• Advanced attention mechanisms
• Model scaling strategies

📊 GitHub Statistics

🏆 GitHub Achievements

🔭 Current Focus

• Transformer model optimization and deployment
• Neural network acceleration on custom hardware
• Low-level system optimization
• Operating system internals
• Hardware abstraction layers
• Exploring AI research papers

📫 Connect With Me

• 📧 Email: 72ave2@gmail.com
• 🌐 Portfolio: fritzprix.github.io

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def life_motto():
    return """
    Dive deep into the metal,
    Rise high with AI,
    Code for fun, learn forever!
    """

"The best way to predict the future is to implement it"