$ about.py

# -*- coding: utf-8 -*-
#!/usr/bin/env python

class SokosLee():
    """
    Software Architect | E-commerce System Expert | AI/ML Engineer
    """

    def __init__(self):
        self.name = 'Sokos Lee'
        self.email = 'SokosLee@gmail.com'
        self.twitter = '@SokosLee'

        self.roles = [
            'Software Architect',
            'E-commerce System Expert',
            'AI/ML Engineer',
            'Full-Stack Developer',
            'Creator'
        ]

        self.values = 'Democracy, Equality, Fairness, Freedom'
        self.hobbies = ['Running', 'Mountain Climbing', 'Silence']

    # E-commerce Technology Expertise
    @property
    def ecommerce_expertise(self):
        return {
            'architecture': [
                'Microservices Architecture',
                'Distributed Systems',
                'High-Concurrency Design',
                'Scalable Infrastructure'
            ],
            'platforms': [
                'Shopify', 'WooCommerce',
                'Magento', 'Custom Solutions'
            ],
            'payments': [
                'Stripe', 'PayPal',
                'Alipay', 'WeChat Pay',
                'Multi-currency Support'
            ],
            'systems': [
                'Order Management (OMS)',
                'Warehouse Management (WMS)',
                'Customer Relationship (CRM)'
            ]
        }

    # AI/ML Technology Expertise
    @property
    def ai_ml_expertise(self):
        return {
            'llm_development': [
                'OpenAI GPT Integration',
                'Claude API Development',
                'Gemini Applications',
                'LangChain Framework'
            ],
            'ml_frameworks': [
                'TensorFlow', 'PyTorch',
                'Hugging Face Transformers'
            ],
            'techniques': [
                'Natural Language Processing (NLP)',
                'Computer Vision',
                'Recommendation Algorithms',
                'Deep Learning'
            ],
            'infrastructure': [
                'RAG (Retrieval-Augmented Generation)',
                'Vector Databases (Pinecone, Weaviate)',
                'AI Agent Development'
            ]
        }

    def get_tech_stack(self):
        """Comprehensive Technology Stack"""
        return {
            'languages': [
            'JavaScript', 'TypeScript', 'Python',
                'Java', 'Golang', 'Rust', 'PHP'
            ],
            'frontend': [
                'React', 'Vue', 'Astro', 'Next.js'
            ],
            'backend': [
                'Node.js', 'Spring Boot',
                'FastAPI', 'Django'
            ],
            'databases': [
                'PostgreSQL', 'MySQL', 'MongoDB',
                'Redis', 'Pinecone', 'Qdrant'
            ],
            'cloud_devops': [
                'AWS', 'Cloudflare', 'Vercel',
                'Docker', 'Kubernetes'
            ]
        }

    def get_expertise_timeline(self):
        """Years of Experience in Each Domain"""
        return {
            'Full-Stack Development': '20+ years',
            'E-commerce Architecture': '10+ years',
            'Mobile Development': '8+ years',
            'AI/ML Engineering': '5+ years',
            'E-commerce + AI Integration': '3+ years'
        }


if __name__ == '__main__':
    sokos = SokosLee()

    print(f"👋 Hi, I'm {sokos.name}")
    print(f"📧 {sokos.email}")
    print(f"🐦 {sokos.twitter}")
    print(f"\n🎯 Roles: {', '.join(sokos.roles)}")
    print(f"\n💡 Values: {sokos.values}")
    print(f"\n🏃 Hobbies: {', '.join(sokos.hobbies)}")

    print("\n" + "="*50)
    print("🚀 Expertise Areas")
    print("="*50)

    for domain, years in sokos.get_expertise_timeline().items():
        print(f"  • {domain}: {years}")