{
  "username": "hodor",
  "header": {
    "name": "Zhijian Fan",
    "tagline": "AI, Data Science, and Software Engineering Student"
  },
  "personalInfo": {
    "email": "fanzj0523@bupt.edu.cn",
    "phone": "+86 177 2351 9127",
    "location": "Beijing, China / Available for internship"
  },
  "experience": [
    {
      "company": "Faculty of Science, The University of Hong Kong",
      "role": "Research Project Member - Substrate-Level Failure Prediction",
      "startDate": "2025",
      "endDate": "Present",
      "bullets": [
        "Joined a faculty research project on semiconductor manufacturing analytics and substrate-level failure prediction.",
        "Translated sparse wafer defect patterns into modeling objectives and experiment plans for predictive analysis.",
        "Contributed to iterative research discussions on model robustness across different wafer specifications and manufacturing conditions."
      ],
      "tags": [
        "Research",
        "Deep Learning",
        "Semiconductor",
        "Predictive Analytics"
      ]
    },
    {
      "company": "International School, Beijing University of Posts and Telecommunications",
      "role": "Developer - Student Information Management and Personal Planning System",
      "startDate": "2025",
      "endDate": "Present",
      "bullets": [
        "Helped build and launch a student data platform that reached 2,000+ users after school-wide promotion.",
        "Owned end-to-end product iteration across user workflows, data analysis logic, backend services, and deployment reliability.",
        "Worked on a data flywheel loop that connected real user activity with continuous improvements to prediction and recommendation features."
      ],
      "tags": [
        "Product Engineering",
        "Data Platform",
        "Transformer",
        "Recommendation",
        "Backend"
      ]
    },
    {
      "company": "Innovation Centre, Queen Mary University of London",
      "role": "Developer - QMUL WinterHack Challenge",
      "startDate": "2026",
      "endDate": "2026",
      "bullets": [
        "Developed a ROS2-based robotic arm vehicle on Raspberry Pi, focusing on software and algorithm design.",
        "Implemented SLAM for localization and mapping and A* search for path planning.",
        "Integrated perception and control modules to enable autonomous navigation and object grasping."
      ],
      "tags": [
        "ROS2",
        "Raspberry Pi",
        "SLAM",
        "Robotics"
      ]
    },
    {
      "company": "OxCam Programme, University of Cambridge",
      "role": "Participant - Large Language Model & Generative AI Summer Camp",
      "startDate": "2024",
      "endDate": "2024",
      "bullets": [
        "Completed three weeks of coursework and interdisciplinary research under the supervision of Prof. Pietro Lio.",
        "Explored generative AI and computer vision research directions through a final project on sign language recognition.",
        "Delivered the final presentation and received a Distinction grade."
      ],
      "tags": [
        "Generative AI",
        "Computer Vision",
        "Self-Supervised Learning",
        "Research"
      ]
    }
  ],
  "education": [
    {
      "school": "Beijing University of Posts and Telecommunications (BUPT) | Queen Mary University of London",
      "major": "Telecommunication Engineering and Management",
      "degree": "B.Eng",
      "startDate": "2023",
      "endDate": "2027 Expected"
    }
  ],
  "projectsRecent": [],
  "projectsDetailed": [
    {
      "title": "Substrate-Level Failure Prediction Based on Deep Learning",
      "type": "Data Science / Deep Learning Research",
      "startDate": "2025",
      "endDate": "Present",
      "url": "",
      "award": "",
      "bullets": [
        "Prepared substrate-level defect data for modeling, including sparse-pattern preprocessing and feature extraction.",
        "Built neural network experiments to predict die failure from manufacturing defect signals.",
        "Evaluated model behavior across wafers with different specifications to improve robustness and generalization.",
        "Connected prediction outputs with production-efficiency goals in the semiconductor manufacturing context."
      ],
      "tags": [
        "Python",
        "Deep Learning",
        "Predictive Modeling",
        "Semiconductor"
      ]
    },
    {
      "title": "Student Information Management and Personal Planning System",
      "type": "AI / Data Platform",
      "startDate": "2025",
      "endDate": "Present",
      "url": "",
      "award": "",
      "bullets": [
        "Modeled long-term learning and career trajectories with a Transformer-based framework on student data.",
        "Designed recommendation and prediction logic for personal planning scenarios.",
        "Implemented lightweight database, relay, and authentication services to support cross-network usage.",
        "Built feedback pathways from user activity to platform iteration, supporting a data flywheel after launch."
      ],
      "tags": [
        "Transformer",
        "Recommendation System",
        "Data Analysis",
        "Backend",
        "AI Workflow"
      ]
    },
    {
      "title": "QMUL WinterHack Challenge",
      "type": "Robotics / Embedded AI Project",
      "startDate": "2026",
      "endDate": "2026",
      "url": "",
      "award": "",
      "bullets": [
        "Built a ROS2-based robotic arm vehicle on Raspberry Pi with a focus on software and algorithm design.",
        "Implemented SLAM for localization and mapping, plus A* search for path planning.",
        "Integrated perception and control modules to enable autonomous navigation and object grasping."
      ],
      "tags": [
        "ROS2",
        "Raspberry Pi",
        "SLAM",
        "A*",
        "Robotics"
      ]
    },
    {
      "title": "Self-Supervised Hand Pose Estimation and Recognition",
      "type": "Generative AI / Computer Vision Research",
      "startDate": "2024",
      "endDate": "2024",
      "url": "",
      "award": "Distinction",
      "bullets": [
        "Studied self-supervised learning methods for hand pose estimation.",
        "Explored how hand-pose representations can support sign language recognition.",
        "Produced the final presentation titled \"Self-Supervised Hand Pose Estimation and Recognition\" and received a Distinction grade."
      ],
      "tags": [
        "Generative AI",
        "Computer Vision",
        "Self-Supervised Learning"
      ]
    }
  ],
  "skills": [
    {
      "name": "Programming",
      "items": [
        "Python",
        "PyTorch",
        "C"
      ]
    },
    {
      "name": "AI & Data",
      "items": [
        "Machine Learning",
        "Deep Learning",
        "Transformer Models",
        "Predictive Modeling",
        "Data Analysis"
      ]
    },
    {
      "name": "Robotics & Algorithms",
      "items": [
        "ROS2",
        "SLAM",
        "A* Path Planning",
        "Raspberry Pi"
      ]
    },
    {
      "name": "Backend & Systems",
      "items": [
        "Backend Services",
        "Database Services",
        "Authentication Services",
        "API Integration",
        "Lightweight Backend Architecture"
      ]
    },
    {
      "name": "Languages",
      "items": [
        "Chinese (Native)",
        "English (IELTS 7.0)"
      ]
    },
    {
      "name": "Coursework",
      "items": [
        "Machine Learning and Data Analysis",
        "Data Structures",
        "Signals and Systems Theory",
        "Digital Signal Processing",
        "Digital Circuit Design",
        "Electronic and Circuit Foundation"
      ]
    },
    {
      "name": "Interests",
      "items": [
        "AI4S",
        "Agentic AI"
      ]
    }
  ],
  "contact": [
    {
      "label": "Email",
      "url": "mailto:fanzj0523@bupt.edu.cn"
    },
    {
      "label": "Phone",
      "url": "tel:+8617723519127"
    }
  ],
  "meta": {
    "updatedAt": "2026-06-09T02:25:16.942Z"
  }
}