Skip to content
View YuanyuanMa03's full-sized avatar
14 followers · 40 following
  • 南京

Achievements

Achievement: YOLO

Achievements

Achievement: YOLO

Block or report YuanyuanMa03

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
YuanyuanMa03/README.md

👋 Hi there, I'm Yuan!

Typing SVG

🎓 Currently pursuing M.Sc. @ Nanjing Agricultural University (NJAU)
B.S. @ Anhui Agricultural University (AAU)


Quote

🎯 What I'm Building

I focus on AI Agent Systems and LLM-Native Applications, with expertise in:

🤖 AI & LLM Engineering 🏗 System Architecture
Multi-Agent Systems: Building collaborative agent frameworks Hybrid Architectures: Python + Go + JavaScript
Model Training & Alignment: GRPO, LoRA fine-tuning on Apple Silicon Knowledge Systems: RAG, vector databases, long-term memory
Agentic Tools: Function calling, MCP protocol, tool orchestration Event-Driven: Skill chains, automatic composition, result passing

🌾 Domain Applications

I apply AI agent systems to practical domains, including:

🌾 Smart Agriculture 📚 Research & Literature 🛠️ Dev Tools
Crop simulation models + ML Literature analysis agents Code generation assistants
Disease detection agents Paper writing automation MCP-based tool systems
Methane emission prediction Academic workflow automation AI-native version control

🛠️ Technical Stack

💻 Core Languages 🧠 AI / LLM / Agents 📊 Data & Tools
Python (Expert)
Go
JavaScript
R		 LangChain
Pydantic
FastAPI		 Redis
Docker
HuggingFace

Key Skills: Multi-Agent Systems • LLM Training & Alignment • RAG • MCP • Event-Driven Architecture

🚀 Featured Projects

🌾 AI + Agriculture

  • qwen-agriculture-agent ⭐

    • AI-powered agriculture assistant based on Qwen-Agent framework
    • Local inference with MLX (fully offline)
    • Process-based model integration (RG2CH4, Ricegrow)

  • RiceGrowAI

    • AI-powered rice growth & CH₄ emission simulation system
    • Interactive visualization and parameter exploration

🤖 Agent Frameworks

  • AstrBot

    • Agentic IM chatbot infrastructure supporting multiple platforms & LLMs
    • Plugin system, multi-platform integration (WeChat, QQ, Telegram...)

  • ClassBrainAI

    • Multi-agent collaborative class management with role-based AI assistants

🛠️ AI Tools & Applications

  • literature_agent 📚 ⭐⭐

    • LLM-powered literature analysis assistant for faster research
    • Smart screening, deep analysis, interactive visualization

  • pi-llm-alignment

    • LLM alignment research — safety evaluation and alignment techniques

  • gitai 🐙 ⭐

    • AI-native version control system
    • Treats prompts as first-class citizens alongside code

  • nano-claude-code

    • Build your own AI coding assistant (from 0 to 1)

  • latex-editor ✏️ ⭐

    • Lightweight online LaTeX editor (Overleaf alternative)

🔧 Developer Tooling

📊 Open Source Stats

📫 Connect with Me

Platform Reach Out
Academic Email
Personal Email

"Building intelligent systems, one agent at a time."

Pinned Loading

  1. gitai gitai Public

    GitAI fills this gap - it's an AI-native version control system that treats prompts as first-class citizens alongside your code.

    Go 1

  2. qwen-agriculture-agent qwen-agriculture-agent Public

    Agriculture AI Agent - 智能农业助手，基于 Qwen-Agent 框架集成机理模型、RAG、MCP 和农业专业工具

    Python 2 1

  3. literature_agent literature_agent Public

    LLM-powered literature analysis assistant for faster research

    Python 2

  4. AstrBot AstrBot Public

    Agentic IM Chatbot infrastructure that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨

    Python

  5. nano-claude-code nano-claude-code Public

    build your own claude code(code agent),from zero to one!

    Python

  6. ml-easy-setup ml-easy-setup Public

    一键配置机器学习/深度学习环境，让科研工作更专注于算法本身

    Python 1