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👋 Hi! I'm Zijian Ni, a 3rd-year Computer Science with Artificial Intelligence student at University of Leeds, passionate about shaping the future of AI technology. 🎯 Career Vision: Aspiring to become an AI World Architect — designing intelligent systems that transform how humans interact with technology. 🚀 Current Focus: Building the Aurora Universe (极光宇宙), a comprehensive ecosystem of AI-powered applications that bring intelligent assistance to everyday digital life. 💡 Philosophy: I believe AI should be accessible, helpful, and seamlessly integrated into communities where people connect and create. |
👋 你好！我是倪子健，利兹大学计算机科学与人工智能专业的大三在读学生，致力于塑造AI技术的未来。 🎯 职业愿景： 努力成为AI世界架构师 —— 设计能够改变人机交互方式的智能系统。 🚀 当前重点： 正在构建Aurora宇宙（极光宇宙），这是一个全面的AI应用生态系统，为日常数字生活带来智能助手。 💡 理念： 我相信AI应该是易获取的、有帮助的，并且能够无缝集成到人们连接和创造的社区中。 |
🎨 Aurora Universe | 极光宇宙
🤖 Aurora Xiaoluo | 极光小落QQ Group Chat AI Assistant 🎯 An intelligent conversational AI that brings life to QQ group chats with:
Tech Stack: |
⛏️ Aurora Xiaoyu | 极光小雨Minecraft Server AI Companion 🎮 Bringing AI intelligence into the Minecraft world:
Tech Stack: |
Collaborating with xinghun1314 to expand the Aurora series into a comprehensive AI ecosystem, delivering intelligent solutions across gaming, social platforms, productivity tools, and beyond.
Coming Soon: Aurora Cloud Services • Aurora Developer Platform • Aurora Mobile AI
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Academic Excellence 📚
Practical Innovation 🛠️
Community Building 🤝
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Master AI Architecture 🏗️
Lead AI Innovation 💡
Shape the AI Future 🌐
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| Domain | Technologies | Applications |
|---|---|---|
| 🤖 LLM & GenAI | GPT-4, Claude 3, Gemini 3, Llama 3, Mistral | Conversational AI, Code Generation, Content Creation |
| 🔍 RAG Systems | LangChain, LlamaIndex, Vector DBs, Hybrid Search | Knowledge Management, Document Intelligence, Q&A Systems |
| 👥 Multi-Agent AI | LangGraph, CrewAI, AutoGen, Semantic Kernel | Collaborative Problem Solving, Workflow Automation |
| 🧠 Neural Architecture | Transformers, Mixture-of-Experts, GraphRAG | Advanced Model Design, Efficient Training |
| ☁️ MLOps & Deployment | Kubernetes, Docker, AWS SageMaker, MLflow | Production AI, Scalable Infrastructure |
| 🛡️ Responsible AI | Bias Detection, Explainability, Ethics Frameworks | Trustworthy AI, Governance, Compliance |
learning_roadmap = {
"2025_Q4": [
"🔧 Advanced Multi-Agent Systems Architecture",
"📚 Production-Grade RAG Implementation",
"🎯 LLM Fine-Tuning & RLHF Techniques",
"🏗️ Distributed AI System Design"
],
"2026_Q1": [
"🤖 Agentic AI Orchestration Patterns",
"🕸️ GraphRAG & Knowledge Graph Integration",
"📱 Edge AI & Model Optimization",
"🛡️ AI Safety & Alignment Research"
],
"future_goals": {
"technical": "Master end-to-end AI architecture from research to production",
"impact": "Build AI systems that democratize access to intelligent technology",
"vision": "Architect the AI infrastructure of tomorrow"
}
}"Great AI architecture isn't just about powerful models—it's about designing systems that are scalable, ethical, and genuinely useful to humanity."
🎯 Purpose-Driven Design | 目标导向设计
Every AI system should solve real problems and create tangible value
🔒 Ethics First | 道德优先
Build responsible AI with fairness, transparency, and accountability at the core
⚡ Performance & Efficiency | 性能与效率
Optimize for both computational efficiency and environmental sustainability
🌍 Accessibility | 可访问性
Make AI technology available and useful to diverse global communities
🔄 Continuous Innovation | 持续创新
Stay at the forefront of AI research while maintaining production stability
🤝 Collaboration | 协作精神
Great AI systems are built by teams, not individuals
🤖 Active AI Bots: Serving communities daily with intelligent assistance
💬 User Interactions: Thousands of conversations powered by Aurora AI
🔧 Open Source: Contributing to the AI development ecosystem
🌐 Global Reach: Building AI that transcends language and cultural barriers
🤝 AI Research & Development
🚀 Open Source Contributions
💡 Innovative Project Ideas
🌟 Aurora Universe Expansion
"Building the Aurora Universe, one AI innovation at a time" ✨
"构建极光宇宙，一次一个AI创新" 🌟