{
  "username": "ziying",
  "header": {
    "name": "Ziying Yang",
    "tagline": "Full-Stack Engineer | AI & Multi-Agent Systems | Python, TypeScript"
  },
  "personalInfo": {
    "email": ""
  },
  "experience": [
    {
      "company": "QCon Conferences",
      "role": "Technical Volunteer -- Lecturer Assistant",
      "startDate": "2019",
      "endDate": "2019",
      "bullets": [
        "Coordinated logistics for conferences with speakers from Baidu, Alibaba, Ant Group, and 4Paradigm.",
        "Translated complex AI topics into accessible presentation materials for diverse audiences."
      ]
    }
  ],
  "education": [
    {
      "school": "University of New South Wales (UNSW), Sydney",
      "major": "Information Technology",
      "degree": "Master of Information Technology",
      "startDate": "2024",
      "endDate": "2026"
    },
    {
      "school": "Shanghai Lixin University of Accounting & Finance",
      "major": "Information Management and Systems",
      "degree": "Bachelor of Management",
      "startDate": "2018",
      "endDate": "2022"
    }
  ],
  "projectsRecent": [],
  "projectsDetailed": [
    {
      "title": "SkyTerrain -- AI-Enhanced 3D Geospatial Platform",
      "type": "Full-Stack Application",
      "startDate": "2026",
      "endDate": "Present",
      "bullets": [
        "Built a production 3D geography platform using Next.js, TypeScript, and CesiumJS.",
        "Architected a unified data pipeline for terrain metadata and educational content.",
        "Developed a terrain-aware camera system generating observation points automatically.",
        "Integrated AI narration with bilingual Chinese/English support and sentence highlighting."
      ],
      "tags": [
        "Next.js",
        "TypeScript",
        "CesiumJS",
        "Geospatial",
        "AI Integration"
      ]
    },
    {
      "title": "ADHD-Timebox -- Multi-Agent AI Automation Platform",
      "type": "AI Application",
      "startDate": "2026",
      "endDate": "Present",
      "bullets": [
        "Engineered a cross-platform AI app (Web + Electron) with FastAPI backend.",
        "Architected a multi-agent system with Orchestrator, Planner, Focus, and Reward agents.",
        "Integrated Google Calendar API via OAuth 2.0 for real-time task synchronization.",
        "Implemented reactive idle-watching and context relevance checking for focus management."
      ],
      "tags": [
        "FastAPI",
        "Next.js",
        "Multi-Agent AI",
        "Electron",
        "Python",
        "TypeScript"
      ]
    },
    {
      "title": "Multi-Agent Code Translation System",
      "type": "Research Project",
      "startDate": "2025",
      "endDate": "2025",
      "bullets": [
        "Developed a multi-agent system for automated code translation across Python and Java.",
        "Designed a modular orchestration engine with planner, translator, and reviewer agents.",
        "Leveraged AST analysis, sandboxed execution, and iterative validation for reliability.",
        "Co-authored technical documentation supporting reproducibility and team onboarding."
      ],
      "tags": [
        "Multi-Agent",
        "AST",
        "Python",
        "Java",
        "LLM",
        "Code Translation"
      ]
    },
    {
      "title": "Involution Hell -- Open-Source Developer Platform",
      "type": "Open Source Project",
      "startDate": "2025",
      "endDate": "2025",
      "bullets": [
        "Engineered an open-source learning platform using Next.js with MDX content management.",
        "Integrated multi-provider AI models: OpenAI GPT, Google Gemini, and Intern-AI.",
        "Resolved critical OAuth authentication issues for stable global Vercel deployment."
      ],
      "tags": [
        "Next.js",
        "TypeScript",
        "MDX",
        "OAuth 2.0",
        "Vercel",
        "OpenAI",
        "Gemini"
      ]
    },
    {
      "title": "Multimodal RAG Chatbot -- Technical PDF Question Answering",
      "type": "Research Project",
      "startDate": "2025",
      "endDate": "2025",
      "bullets": [
        "Designed a multimodal RAG system for question answering over technical PDFs.",
        "Built an end-to-end pipeline using MinerU to parse PDFs into structured elements.",
        "Implemented embedding-based retrieval with ChromaDB and metadata-aware grounding.",
        "Generated answers using Vision-Language Models with multimodal context construction."
      ],
      "tags": [
        "RAG",
        "ChromaDB",
        "MinerU",
        "VLM",
        "Vector Databases",
        "Python"
      ]
    }
  ],
  "skills": [
    {
      "name": "Programming Languages",
      "items": [
        "Python",
        "TypeScript",
        "JavaScript",
        "Java",
        "C++",
        "Bash"
      ]
    },
    {
      "name": "AI & Machine Learning",
      "items": [
        "Multi-Agent Systems",
        "RAG",
        "Conversational AI",
        "LLM Orchestration",
        "Prompt Engineering",
        "Vision-Language Models",
        "ChromaDB",
        "Vector Databases"
      ]
    },
    {
      "name": "Frontend & Backend",
      "items": [
        "Next.js",
        "React",
        "Node.js",
        "FastAPI",
        "Tailwind CSS",
        "Electron",
        "RESTful APIs",
        "OAuth"
      ]
    },
    {
      "name": "Cloud, DevOps & Tools",
      "items": [
        "AWS",
        "Vercel",
        "Docker",
        "CI/CD",
        "Git",
        "Linux",
        "CesiumJS"
      ]
    },
    {
      "name": "Languages",
      "items": [
        "English (Fluent)",
        "Mandarin Chinese (Native)"
      ]
    }
  ],
  "contact": [
    {
      "label": "GitHub",
      "url": "https://github.com/AudreyYZY"
    },
    {
      "label": "LinkedIn",
      "url": "https://www.linkedin.com/in/ziying-yang-237a84189/"
    }
  ],
  "meta": {
    "updatedAt": "2026-06-18T14:05:54.586Z"
  }
}