简历解析
#1300
记录详情
1-6ad74187-152d7d-3cef04e983eb
success
2026-10-20 18:27:13
ID
id
1300
请求 ID
request_id
1-6ad74187-152d7d-3cef04e983eb
解析时间
parsed_at
2026-10-20 10:25:15
source_bucket
source_bucket
langbowei-static
源对象
source_object
resumes/1-6ad74187-152d7d-3cef04e983eb__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
2026-10-20T10:25:12.000Z
region
region
cn-hangzhou
etag
etag
40B589DDBDD4ED77F256C3161AB1D8D2
文本长度
text_length
2660
parsed_result
parsed_result
JSON
{
"basic_info": {
"name": "张雨萱",
"gender": "",
"phone": "188-6648-1823\/188-1781-3398",
"email": "xyzhang_210@163.com",
"age": "",
"birth_date": "",
"location": "",
"work_years": "2.0"
},
"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": "",
"expected_city": "",
"availability": ""
},
"skills": [
"机器学习",
"深度学习",
"回归",
"分类",
"聚类",
"LSTM",
"Transformer",
"CNN",
"PyTorch",
"预测性维护(PHM)",
"工业时序数据异常检测",
"剩余寿命预测(RUL)",
"特征工程",
"时序特征构建",
"统计特征提取",
"数据采样策略",
"异常标注",
"数据增强",
"模型训练与评估",
"数据工程",
"多传感器数据采集",
"数据清洗",
"数据质量评估",
"Python",
"Pandas",
"NumPy",
"SQL",
"OpenCV",
"Halcon",
"Git",
"MATLAB",
"Docker",
"Unity",
"C++",
"CET-6",
"IELTS6.0"
],
"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(多传感器感知方向):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任务;独立编写SSIM结构相似度算法脚本过滤表面污渍干扰;结合筛选结果反馈优化拍摄参数。\n2. 列车远程运维异常检测项目(PHM\/时序预测):负责416万行轴温\/制动风压时序数据处理;提出引入负样本的训练策略提升模型准确率;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(轴温异常检测场景):负责需求分析、任务设计、评分标准制定;处理真实工业时序数据;使用Python开发自动评分及测试脚本,使用MATLAB生成标准答案;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等系统日常运维与流程梳理;运用SQL进行数据查询与统计分析;参与海外项目技术支撑,协助提取技术需求及标书编制。"
}
],
"project_experience": [
{
"name": "UnityAR交互应用开发(个人项目)",
"role": "",
"duration": "",
"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(科研竞赛)",
"role": "",
"duration": "",
"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",
"IELTS6.0"
],
"self_evaluation": "4年工业AI项目经验,参与轨道交通PHM(故障预测与健康管理)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,针对故障样本稀缺和供应商方案不佳的问题,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%,优于供应商仅用正样本拟合的方案。在总风压力项目中,针对工业时序数据重度丢包问题,设计并实现有效保压片段提取算法,避免简单填充导致的数据失真,为模型训练提供高质量输入。参与轨旁360视觉检测系统,独立编写SSIM结构相似度算法脚本用于误报筛选,结合3D高度差数据进行多模态数据质量优化。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/1-6ad74187-152d7d-3cef04e983eb__widget_1704704635359_0.pdf.parsed.json
状态
status
success
error_message
error_message
无数据
raw_event
raw_event
JSON
{
"events": [
{
"eventName": "ObjectCreated:PutObject",
"eventSource": "acs:oss",
"eventTime": "2026-10-20T10:25:12.000Z",
"eventVersion": "1.0",
"oss": {
"bucket": {
"arn": "acs:oss:cn-hangzhou:1748673497100614:langbowei-static",
"name": "langbowei-static",
"ownerIdentity": "1748673497100614",
"virtualBucket": ""
},
"object": {
"deltaSize": 172579,
"eTag": "40B589DDBDD4ED77F256C3161AB1D8D2",
"key": "resumes\/1-6ad74187-152d7d-3cef04e983eb__widget_1704704635359_0.pdf",
"objectMeta": {
"mimeType": "application\/pdf"
},
"size": 172579
},
"ossSchemaVersion": "1.0",
"ruleId": "6ace21aabfd5f4f41034504922b3ff7128aa76bb"
},
"region": "cn-hangzhou",
"requestParameters": {
"sourceIPAddress": "172.16.0.132"
},
"responseElements": {
"requestId": "6AD741882F438331305AE702"
},
"userIdentity": {
"principalId": "300034963247836315"
}
}
]
}
创建时间
created_at
2026-10-20 18:27:13