"""For better readability, the following code is not runnable π"""
from dataclasses import dataclass
from typing import Literal
@dataclass
class Josix:
pronouns: Literal["he"] | Literal["him"]
website: str = "https://josix.tw"
digital_garden: str = "http://note.josix.tw/"
email: str = "josixwang(at)gmail.com"
languages: list[str] = ["zh-tw", "en-us"]
code: list[str] = ["Python", "JavaScript", "TypeScript"]
expertise: list[str] = [
"python engineering",
"ml & information retrieval",
"data systems",
"full-stack development",
"community leadership",
"AI/LLM engineering",
"claude code & AI agents"
]
ask_me_about: list[str] = [
"python tooling",
"search systems",
"ml in production",
"data architecture",
"python conferences",
"productivity tools",
"AI agents",
"LLM tooling"
]
communities: dict[str, list[str]] = {
"volunteer": ["PyConTW'19", "PyConTW'20", "PyConTW'21", "PyConAPAC'22", "PyConTW'24"],
"team_lead": ["PyConTW'21", "PyConAPAC'22", "PyConTW'23"],
}
technologies: dict[str, list[str]] = {
"backend": ["fastapi", "django"],
"frontend": ["reactjs", "vuejs", "nuxtjs", "redux", "webpack", "tailwindcss"],
"tools": ["airflow", "elasticsearch", "clickhouse", "docker"],
"shell": ["bash", "zsh"],
"machine_learning": ["pytorch", "pytorch-geometric"],
"editors": ["vscode", "vim"],
"databases": ["postgresql", "mongodb", "redis"],
"cloud": ["aws", "gcp", "kubernetes"],
"ai_llm": ["claude-code", "mcp", "multi-agent-orchestration"]
}
interests: dict[str, list[str]] = {
"data_science": ["learning to rank", "feature engineering", "search optimization"],
"software_engineering": ["python ecosystem", "database systems", "performance tuning"],
"management": ["leadership coaching", "performance improvement", "communication"],
"personal_development": ["mindset", "emotional intelligence", "productivity"],
"design": ["material design", "ui/ux", "pixel density"],
"ai_engineering": ["AI agent systems", "LLM tooling", "multi-agent orchestration", "prompt engineering"]
}I maintain a comprehensive digital knowledge base and technical blog covering:
- Python Engineering: Python ecosystem evolution, performance optimization, development workflows
- ML Systems: Learning to Rank, feature engineering, search optimization, production ML
- Data Architecture: Modern database systems, distributed data processing, lakehouse patterns
- Management & Leadership: Leadership coaching, performance improvement, communication skills
- Personal Development: Mindset development, emotional intelligence, productivity techniques
- AI/LLM Engineering: AI agent systems, Claude Code tooling, multi-agent orchestration, MCP
π awesome-claude-mdCurated collection of exemplary claude.md files (226+ stars). Best practices, templates, and onboarding patterns for AI development workflows. Tech Stack: Documentation, AI Tools, Best Practices |
π Personal Tech BlogTechnical blog and knowledge base covering Python engineering, ML systems, and data architecture. Built with modern web technologies. Tech Stack: JavaScript, Web Development |
π Python Docs zh-TWContributing to the Traditional Chinese translation of Python Documentation - helping make Python accessible to Chinese-speaking developers. Tech Stack: Python, Documentation, Translation |
β‘ agent-flowClaude Code multi-agent orchestration plugin with specialized agents for exploration, planning, implementation, review, and verification. Tech Stack: Shell, AI Agents, Claude Code, MCP |
- Python Engineering: Deep understanding of Python ecosystem, tooling, and performance optimization
- ML & Information Retrieval: Production experience with search ranking, feature engineering, and recommendation systems
- Data Systems: Knowledge of modern data architecture, distributed systems, and database technologies
- Community Leadership: Active contributor and team lead in Python conferences
- Tool Building: Creates systems to solve personal and team productivity challenges
- AI/LLM Engineering: Building AI agent systems, multi-agent orchestration, and developer tooling with Claude Code and MCP
Click to learn more about me! π
- π Python enthusiast with a passion for clean, readable code
- πͺ Community organizer - I've been actively involved in organizing PyConTW and PyConAPAC events
- π§ Machine Learning explorer - particularly interested in recommender systems and network embedding
- π± Digital gardener - I maintain a digital garden at note.josix.tw where I share my thoughts and learnings
- π Multilingual - Fluent in Traditional Chinese and English
- β‘ Tech stack diversity - Comfortable with both backend and frontend development
- π§ DevOps curious - Love working with containerization and orchestration tools
- π€ AI agent builder - Creating multi-agent orchestration tools with Claude Code and MCP
- Team Lead: PyConTW'21, PyConAPAC'22, PyConTW'23
- Volunteer: PyConTW'19, PyConTW'20, PyConTW'21, PyConAPAC'22, PyConTW'24
Powered by AgentsView β tracking AI coding sessions across 65 projects since 2024-05
How it works: This section is automatically updated every 30 minutes using a GitHub Actions workflow that fetches my latest GitHub activities and updates this README file.
- π Merged PR #2 in josix/agent-flow
- π Closed issue #91 in josix/awesome-claude-md
- π Merged PR #94 in josix/awesome-claude-md
- π Closed issue #84 in josix/awesome-claude-md
- πͺ Opened PR #94 in josix/awesome-claude-md