简历解析详情

简历解析 #1305

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请求 ID
1-6ad756d7-15b3db-7f5a118afc0d
状态
success
创建时间
2026-10-20 19:57:50
ID id
1305
请求 ID request_id
1-6ad756d7-15b3db-7f5a118afc0d
解析时间 parsed_at
2026-10-20 11:56:18
source_bucket source_bucket
langbowei-static
源对象 source_object
resumes/1-6ad756d7-15b3db-7f5a118afc0d__widget_1704704635359_0.pdf
对象大小 object_size
172579
文件类型 file_type
pdf
姓名 name
张雨萱
手机号 phone
188-6648-1823/188-1781-3398
event_name event_name
ObjectCreated:PutObject
event_time event_time
2026-10-20T11:56:15.000Z
region region
cn-hangzhou
etag etag
40B589DDBDD4ED77F256C3161AB1D8D2
文本长度 text_length
2660
parsed_result parsed_result
JSON
{
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        "gender": null,
        "phone": "188-6648-1823\/188-1781-3398",
        "email": "xyzhang_210@163.com",
        "age": null,
        "birth_date": null,
        "location": null,
        "work_years": "2.3"
    },
    "education": [
        {
            "school": "同济大学",
            "major": "交通运输",
            "degree": "本科",
            "graduation_year": "2022\/06"
        }
    ],
    "job_intention": {
        "expected_position": "视觉算法研发",
        "expected_salary": null,
        "expected_city": null,
        "availability": null
    },
    "skills": [
        "C++",
        "Python",
        "Pandas",
        "NumPy",
        "SQL",
        "MATLAB",
        "OpenCV",
        "Halcon",
        "Git",
        "Docker",
        "Linux",
        "Unity",
        "机器学习",
        "深度学习",
        "PyTorch",
        "LSTM",
        "Transformer",
        "CNN",
        "预测性维护",
        "PHM",
        "异常检测",
        "剩余寿命预测",
        "RUL",
        "特征工程",
        "时序特征构建",
        "数据增强",
        "多传感器数据采集",
        "数据清洗",
        "SSIM结构相似度算法",
        "3D点云处理"
    ],
    "work_experience": [
        {
            "company": "中车青岛四方机车车辆股份有限公司",
            "position": "业务数字应用工程师",
            "duration": "2022\/07 - Present",
            "description": "1. 轨旁360°视觉检测系统研发:参与多传感器数据采集方案实施,负责图像数据预处理、切割与归档;使用深度学习平台完成异常检测模型训练;独立编写SSIM结构相似度算法脚本过滤表面污渍干扰;结合3D高度差数据优化拍摄参数与清洗策略。\n2. 列车远程运维异常检测项目:负责416万行时序数据处理、清洗与异常标注;提出引入负样本的训练策略,将模型异常识别准确率从50%提升至70%;设计并实现“有效保压片段提取”算法解决数据丢包问题;参与模型推理流水线部署调试。\n3. AI模型评测系统开发:将真实需求转化为自动评测AI任务,处理非均匀采样时序数据;开发自动评分及模型调用测试脚本;完成评测任务运行环境Docker化改造。\n4. 数字化平台运维与海内外项目技术支撑:参与CRM等平台日常运维与流程梳理;运用SQL进行数据统计分析;参与海外项目技术支撑,协助提取技术需求与标书编制。"
        }
    ],
    "project_experience": [
        {
            "name": "UnityAR交互应用开发",
            "role": null,
            "duration": null,
            "description": "使用Unity完成AR交互开发与虚拟场景搭建,具备虚拟场景构建与仿真数据生成迁移能力,可应用于数字孪生场景构建与合成数据补充,支撑工程大模型数据增强。"
        },
        {
            "name": "航空交通网络韧性评估",
            "role": null,
            "duration": null,
            "description": "处理航班GPS轨迹数据,完成定位数据可视化与异常传播分析,运用复杂网络方法评估航空网络韧性。"
        }
    ],
    "certifications": [
        "ISO\/IEC27001:2022信息安全管理体系内审员",
        "ISO\/IEC20000-1:2018IT服务管理体系内审员",
        "中车青岛四方“英才计划”入选者",
        "青骥AI创新联盟青年人才库入选成员",
        "CET-6",
        "IELTS 6.0"
    ],
    "self_evaluation": "4年工业AI项目经验,参与轨道交通PHM系统研发,熟悉从工业数据采集、特征工程到模型训练、部署验证的完整流程。能理解常用深度学习模型的技术边界,配合算法团队完成训练数据准备与效果验证。在轴温异常检测项目中,提出负样本训练策略,将模型准确率从50%提升至70%,召回率达到100%。在总风压力项目中,设计并实现有效保压片段提取算法,避免数据失真。参与轨旁360视觉检测系统,独立编写SSIM算法脚本用于误报筛选。英语CET-6\/IELTS6.0,可流畅阅读英文技术文档,具备跨团队及海外项目沟通经验。"
}
output_key output_key
parsed/resumes/1-6ad756d7-15b3db-7f5a118afc0d__widget_1704704635359_0.pdf.parsed.json
状态 status
success
error_message error_message
无数据
raw_event raw_event
JSON
{
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            "region": "cn-hangzhou",
            "requestParameters": {
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            "responseElements": {
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}
创建时间 created_at
2026-10-20 19:57:50