简历解析
#400
记录详情
1-6a688907-15c718-4e26980423ee
success
2026-07-28 18:50:27
ID
id
400
请求 ID
request_id
1-6a688907-15c718-4e26980423ee
解析时间
parsed_at
2026-07-28 10:48:41
source_bucket
source_bucket
langbowei-static
源对象
source_object
resumes/1-6a688907-15c718-4e26980423ee__widget_1704704635359_0.pdf
对象大小
object_size
304573
文件类型
file_type
pdf
姓名
name
赵鑫杰
手机号
phone
15125261586
event_name
event_name
ObjectCreated:PutObject
event_time
event_time
2026-07-28T10:48:40.000Z
region
region
cn-hangzhou
etag
etag
2E6E3CF3B7975CB98B3BB251C6F6C52F
文本长度
text_length
2443
parsed_result
parsed_result
JSON
{
"basic_info": {
"name": "赵鑫杰",
"gender": null,
"phone": "15125261586",
"email": "15125261586@163.com",
"age": null,
"birth_date": "2002\/02",
"location": null,
"work_years": 0
},
"education": [
{
"school": "山东大学",
"major": "集成电路工程",
"degree": "硕士",
"graduation_year": null
},
{
"school": "山东大学",
"major": "通信工程",
"degree": "本科",
"graduation_year": null
}
],
"job_intention": {
"expected_position": null,
"expected_salary": null,
"expected_city": null,
"availability": null
},
"skills": [
"MATLAB",
"Python",
"Verilog",
"ModelSim",
"C++",
"OpenCV",
"PyInstaller",
"ResNet50",
"Attention机制",
"GCC算法",
"TDOA",
"图像复原算法",
"去马赛克",
"Gamma校正",
"串扰校正",
"硬件电路设计",
"信号逻辑验证",
"时序分析",
"SCC算法"
],
"work_experience": [
{
"company": "比亚迪六部半导体-CIS产品中心",
"position": "高级数字IC设计工程师(实习)",
"duration": "2025\/09 - Present",
"description": "负责 ISP Pipeline核心架构设计与优化,独立使用 MATLAB\/Python 实现 Gamma校正、串扰校正、去马赛克等核心算法模块,验证算法恢复准确性。根据算法技术方案,使用 Verilog 完成相关 ISP 模块的硬件电路设计与修改;利用 ModelSim 进行信号逻辑验证与时序分析,撰写完整的技术设计文档。针对“串扰校正(CC)”模块独立设计测试方案,在实验室标准光源环境下制作测试用例(RAW图)。实习期间作为核心成员完整参与1项ISP算法优化项目及1项芯片模块设计项目。"
}
],
"project_experience": [
{
"name": "CMOS传感器芯片设计",
"role": "项目组核心成员",
"duration": "2026\/04 - Present",
"description": "参与“降噪(NR)”与“去坏点(BPC)”模块设计,独立完成NR与BPC核心算法原理的Verilog代码,根据芯片全局架构的功能与时序要求,优化并调整模块间的信号传输机制与控制逻辑,编写模块测试激励(Testbench)进行自测。"
},
{
"name": "基于RGB-IR传感器的图像复原算法设计",
"role": "项目负责人",
"duration": "2025\/09 - Present",
"description": "针对近红外光(IR)溢出导致的色彩失真,深入分析串扰的物理机制,设计并实现了基于局部自适应权重的IR信号扣除模型。针对RGB-IR像素阵列,独立设计了结合方向梯度的去马赛克插值算法,在完整恢复R\/G\/B三通道高频细节的同时,有效抑制了边缘伪彩,显著提升了低照度及特定红外补光场景下的图像色彩还原度。"
},
{
"name": "基于TDOA的改进两步GCC声源定位算法",
"role": "项目负责人",
"duration": "2025\/05 - 2026\/03",
"description": "独立设计并实现了一种两步广义互相关声源定位方案,在MATLAB环境下完成了麦克风阵列拓扑结构建模、信号仿真与算法全流程验证。在不同信噪比下进行仿真测试,对比传统GCC-PHAT,该算法可以保证在噪声环境下的高降噪性能的同时,大幅度降低算法复杂度。"
},
{
"name": "人员重识别模型训练与检测系统",
"role": "项目负责人",
"duration": "2024\/03 - 2024\/12",
"description": "独立设计并实现了从数据准备到模型训练识别的人员重识别(ReID)系统开发。在ResNet50主干网络中引入Attention机制搭建分类式架构,同时利用OpenCV实现对原始图像中人员的自动检测与智能裁剪,完成了自定义ReID数据集的制作,最终利用PyInstaller成功将其打包为无环境依赖的独立运行软件。"
},
{
"name": "数字电路仿真中组合逻辑环路分析(EDA精英挑战赛)",
"role": "项目负责人",
"duration": "2024\/09 - 2024\/12",
"description": "基于Verilog门级网表与VPI接口构建数字电路有向图模型,使用C++实现强连通分量(SCC)算法完成组合逻辑环自动检测;分析负反馈结构与逻辑震荡触发条件,完成震荡输入组合推导及最少寄存器插入优化,实现复杂数字电路中潜在震荡环路的自动化分析、故障定位与稳定性优化。"
}
],
"certifications": [
"CET-6",
"山东大学本科优秀毕业生",
"山东大学本科二等学业奖学金",
"山东大学本科三等学业奖学金",
"山东大学研究生新生奖学金",
"山东大学研究生三等学业奖学金",
"山东大学合唱比赛二等奖"
],
"self_evaluation": null
}
output_key
output_key
parsed/resumes/1-6a688907-15c718-4e26980423ee__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": "2026-07-28T10:48:40.000Z",
"eventVersion": "1.0",
"oss": {
"bucket": {
"arn": "acs:oss:cn-hangzhou:1748673497100614:langbowei-static",
"name": "langbowei-static",
"ownerIdentity": "1748673497100614",
"virtualBucket": ""
},
"object": {
"deltaSize": 304573,
"eTag": "2E6E3CF3B7975CB98B3BB251C6F6C52F",
"key": "resumes\/1-6a688907-15c718-4e26980423ee__widget_1704704635359_0.pdf",
"objectMeta": {
"mimeType": "application\/pdf"
},
"size": 304573
},
"ossSchemaVersion": "1.0",
"ruleId": "6ace21aabfd5f4f41034504922b3ff7128aa76bb"
},
"region": "cn-hangzhou",
"requestParameters": {
"sourceIPAddress": "172.16.0.154"
},
"responseElements": {
"requestId": "6A6889083D83F531349423FA"
},
"userIdentity": {
"principalId": "300034963247836315"
}
}
]
}
创建时间
created_at
2026-07-28 18:50:27