交叉验证
#33
迟
迟泰宇
学历-经验时间线
gap_years
1
timeline_ok
是
graduation_year
2020
years_experience
5
estimated_work_start
2021
expected_graduation_start
2042
技能-项目一致性
得分
65
声称技能 (25)
C++
Python
Qt
ROS
Git
Linux
性能调优
算法优化
Docker
计算机视觉
几何算法
点云匹配算法
二维几何算法
OpenCV
统计分析
DSP
JPEG
哈夫曼编码
NLP
CRF
分词
词性标注
命名实体识别
神经网络
依存句法分析
项目中验证 (15)
OpenCV
PCL
JPEG
ROS
ICP
camera-imu联合标定
Python
Qt
拟合
IMU
C++
Linux
RTK
四元数
共享内存
仅在摘要中 (10)
C++
Python
Qt
ROS
Linux
Docker
几何算法
OpenCV
DSP
NLP
无证据 (15)
Git
性能调优
算法优化
计算机视觉
点云匹配算法
二维几何算法
统计分析
JPEG
哈夫曼编码
CRF
分词
词性标注
命名实体识别
神经网络
依存句法分析
矛盾/可疑信号
skill_project_gap
high
25/40 个声称技能在项目和摘要中均无体现: ['Git', '性能调优', '算法优化', '计算机视觉', '点云匹配算法', '二维几何算法', '统计分析', 'JPEG']
建议：面试时验证这些技能的真实性
timeline_anomaly
medium
毕业2020年，经验5.0年，推算开始工作年份与预期毕业年份偏差1年
建议：核实是否有中断、转行或教育经历不完整
完整原始数据
{
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"mysql_resume_id": 49,
"screening_id": 33,
"skill_project_consistency": {
"noisy_skills": [],
"claimed_skills": [
"C++",
"Python",
"Qt",
"ROS",
"Git",
"Linux",
"性能调优",
"算法优化",
"Docker",
"计算机视觉",
"几何算法",
"点云匹配算法",
"二维几何算法",
"OpenCV",
"统计分析",
"DSP",
"JPEG",
"哈夫曼编码",
"NLP",
"CRF",
"分词",
"词性标注",
"命名实体识别",
"神经网络",
"依存句法分析"
],
"consistency_score": 65,
"skills_in_summary_only": [
"C++",
"Python",
"Qt",
"ROS",
"Linux",
"Docker",
"几何算法",
"OpenCV",
"DSP",
"NLP"
],
"skills_without_evidence": [
"Git",
"性能调优",
"算法优化",
"计算机视觉",
"点云匹配算法",
"二维几何算法",
"统计分析",
"JPEG",
"哈夫曼编码",
"CRF",
"分词",
"词性标注",
"命名实体识别",
"神经网络",
"依存句法分析"
],
"skills_verified_in_projects": [
"OpenCV",
"PCL",
"JPEG",
"ROS",
"ICP",
"camera-imu联合标定",
"Python",
"Qt",
"拟合",
"IMU",
"C++",
"Linux",
"RTK",
"四元数",
"共享内存"
]
},
"education_timeline": {
"gap_years": 1,
"timeline_ok": true,
"graduation_year": 2020,
"years_experience": 5,
"estimated_work_start": 2021,
"expected_graduation_start": 2042
},
"salary_location_check": null,
"skill_level_contradictions": null,
"overall_consistency": 65,
"flags": [
{
"type": "skill_project_gap",
"detail": "25\/40 个声称技能在项目和摘要中均无体现: ['Git', '性能调优', '算法优化', '计算机视觉', '点云匹配算法', '二维几何算法', '统计分析', 'JPEG']",
"severity": "high",
"suggested_check": "面试时验证这些技能的真实性"
},
{
"type": "timeline_anomaly",
"detail": "毕业2020年，经验5.0年，推算开始工作年份与预期毕业年份偏差1年",
"severity": "medium",
"suggested_check": "核实是否有中断、转行或教育经历不完整"
}
],
"created_at": "2026-06-29T10:06:24.000000Z",
"resume": {
"id": 49,
"resource_id": 49,
"source_text_sha256": "0e6b0c500a46e4155ad1e464de57327339e03e0e0f1c9c9c3e0bad8b90e0eccf",
"target_role": "C++",
"candidate_name": "迟泰宇",
"age": null,
"phone": "18845103323",
"email": "chitaiyu@126.com",
"wechat": "",
"location": "",
"highest_degree": "硕士",
"school": "哈尔滨工程大学",
"major": "控制科学与工程",
"graduation_year": 2020,
"years_experience": 5,
"current_company": "宽凳科技（北京分公司）",
"current_title": "高精地图算法引擎开发师",
"skills_json": [
"C++",
"Python",
"Qt",
"ROS",
"Git",
"Linux",
"性能调优",
"算法优化",
"Docker",
"计算机视觉",
"几何算法",
"点云匹配算法",
"二维几何算法",
"OpenCV",
"统计分析",
"DSP",
"JPEG",
"哈夫曼编码",
"NLP",
"CRF",
"分词",
"词性标注",
"命名实体识别",
"神经网络",
"依存句法分析",
"PCB原理图设计",
"电路板绘制",
"GEOS",
"聚类",
"拟合",
"PCA",
"Kubernetes",
"四元数",
"ROS bag",
"共享内存",
"camera-imu联合标定",
"IMU",
"RTK",
"PCL",
"ICP"
],
"summary": "迟泰宇，1992年出生，哈尔滨工程大学控制科学与工程硕士、测控技术与仪器本科。2020年5月至2021年4月在中国船舶集团第七一六研究所从事DSP嵌入式开发，2021年9月至2022年3月在北京捷象灵越科技维护移动机器人决策系统，2022年3月至2025年3月在宽凳科技北京分公司从事高精地图算法引擎及3D扫描组件开发。技能包括C++、Python、Qt、ROS、Linux、OpenCV、GEOS、Docker、点云与几何算法、DSP和NLP相关算法。",
"raw_text_path": "\/opt\/ai-recruiter-demo\/resume_resources\/2026\/06\/694d9da03f68d363_raw.txt",
"raw_text_url": "http:\/\/39.102.63.164\/resources\/resumes\/2026\/06\/694d9da03f68d363_raw.txt",
"parser_version": "resume-parser-v1.1+codex",
"llm_used": true,
"created_at": "2026-06-29T07:12:03.000000Z",
"updated_at": "2026-06-29T12:57:02.000000Z",
"deleted_at": null
},
"screening": {
"id": 33,
"mysql_resume_id": 49,
"candidate_name": "迟泰宇",
"age": null,
"highest_degree": "硕士",
"school": "哈尔滨工程大学",
"years_experience": 5,
"location": "",
"current_company": "宽凳科技（北京分公司）",
"skills": [
"C++",
"Python",
"Qt",
"ROS",
"Git",
"Linux",
"性能调优",
"算法优化",
"Docker",
"计算机视觉",
"几何算法",
"点云匹配算法",
"二维几何算法",
"OpenCV",
"统计分析",
"DSP",
"JPEG",
"哈夫曼编码",
"NLP",
"CRF",
"分词",
"词性标注",
"命名实体识别",
"神经网络",
"依存句法分析"
],
"parse_quality_score": 80,
"parser_version": "resume-parser-v1.1+codex",
"llm_enhanced": true,
"check_education": {
"label": "学历",
"detail": "学历要求≥本科",
"matched": true,
"evidence": "硕士",
"severity": "must"
},
"check_experience": {
"label": "经验年限",
"detail": "要求≥3.0年，实际5.0年",
"matched": true,
"evidence": "5.0年",
"severity": "must"
},
"check_core_skill_linux": {
"label": "核心技能",
"detail": "核心技能：精通Linux开发环境",
"matched": false,
"evidence": "命中关键词(1\/5): linux",
"severity": "must"
},
"bonus_arm": {
"label": "加分项",
"detail": "加分项：ARM架构经验",
"matched": true,
"evidence": "命中: 嵌入式",
"severity": "bonus"
},
"bonus_image": {
"label": "加分项",
"detail": "加分项：图像处理\/计算机视觉",
"matched": true,
"evidence": "命中: opencv",
"severity": "bonus"
},
"bonus_driver": {
"label": "加分项",
"detail": "加分项：驱动开发经验",
"matched": false,
"evidence": "未命中",
"severity": "bonus"
},
"redline_education": "pass",
"redline_experience": "pass",
"redline_linux": "pass",
"redline_location": "unknown",
"redline_single_day_off": "pending_interview",
"match_score": 66,
"hard_all_pass": false,
"bonus_hit_count": 2,
"cross_reference": {
"flags": [
{
"type": "skill_project_gap",
"detail": "25\/40 个声称技能在项目和摘要中均无体现: ['Git', '性能调优', '算法优化', '计算机视觉', '点云匹配算法', '二维几何算法', '统计分析', 'JPEG']",
"severity": "high",
"suggested_check": "面试时验证这些技能的真实性"
},
{
"type": "timeline_anomaly",
"detail": "毕业2020年，经验5.0年，推算开始工作年份与预期毕业年份偏差1年",
"severity": "medium",
"suggested_check": "核实是否有中断、转行或教育经历不完整"
}
],
"is_noise": false,
"education_timeline": {
"gap_years": 1,
"timeline_ok": true,
"graduation_year": 2020,
"years_experience": 5,
"estimated_work_start": 2021,
"expected_graduation_start": 2042
},
"overall_consistency": 65,
"skill_contradictions": [],
"field_completeness_pct": 80,
"skill_project_consistency": {
"noisy_skills": [],
"claimed_skills": [
"C++",
"Python",
"Qt",
"ROS",
"Git",
"Linux",
"性能调优",
"算法优化",
"Docker",
"计算机视觉",
"几何算法",
"点云匹配算法",
"二维几何算法",
"OpenCV",
"统计分析",
"DSP",
"JPEG",
"哈夫曼编码",
"NLP",
"CRF",
"分词",
"词性标注",
"命名实体识别",
"神经网络",
"依存句法分析"
],
"consistency_score": 65,
"skills_in_summary_only": [
"C++",
"Python",
"Qt",
"ROS",
"Linux",
"Docker",
"几何算法",
"OpenCV",
"DSP",
"NLP"
],
"skills_without_evidence": [
"Git",
"性能调优",
"算法优化",
"计算机视觉",
"点云匹配算法",
"二维几何算法",
"统计分析",
"JPEG",
"哈夫曼编码",
"CRF",
"分词",
"词性标注",
"命名实体识别",
"神经网络",
"依存句法分析"
],
"skills_verified_in_projects": [
"OpenCV",
"PCL",
"JPEG",
"ROS",
"ICP",
"camera-imu联合标定",
"Python",
"Qt",
"拟合",
"IMU",
"C++",
"Linux",
"RTK",
"四元数",
"共享内存"
]
}
},
"screening_verdict": "pending",
"screening_summary": "存在硬性条件不满足或边界情况，需周总决策",
"pushed_to_feishu": false,
"feishu_message_id": "",
"created_at": "2026-06-29T10:06:24.000000Z",
"updated_at": "2026-06-29T10:42:56.000000Z",
"overall_score": "{\"composite\": 73.5, \"stability\": 60, \"pace_match\": 66, \"tech_power\": 85, \"salary_match\": 80, \"communication\": 75, \"salary_match_source\": \"inferred_from_profile\"}",
"risk_flags": "[{\"type\": \"stability_concern\", \"detail\": \"稳定性偏低(评分60\/100)\", \"severity\": \"medium\"}]",
"recommended_action": "pending",
"score_breakdown": "{\"stability\": {\"score\": 60, \"weight\": 0.25, \"rationale\": \"基于5.0年经验 + 公司判断 + 离职信号\", \"confidence\": \"medium\", \"confidence_note\": \"真正稳定性需面试确认职业规划和跳槽原因\"}, \"pace_match\": {\"score\": 66, \"weight\": 0.2, \"rationale\": \"地点: 未知 + 普通 + 5.0年\", \"confidence\": \"medium\"}, \"tech_power\": {\"score\": 85, \"weight\": 0.3, \"evidence\": [\"学历: 通过\", \"经验: 5.0年\", \"Linux: 弱\", \"加分: 2\/3\", \"交叉验证一致性: 65%\"], \"rationale\": \"硬性条件匹配 + 经验5.0年 + 15个项目 + 一致性65%\", \"confidence\": \"medium\"}, \"salary_match\": {\"score\": 80, \"source\": \"inferred_from_profile\", \"weight\": 0.2, \"rationale\": \"未提取到薪资数字，根据5.0年经验+学校+公司+城市推断\", \"confidence\": \"low\"}, \"communication\": {\"score\": 75, \"weight\": 0.05, \"rationale\": \"基于简历文本完整度和结构化程度的代理评估，非真实沟通能力\", \"confidence\": \"low\", \"confidence_note\": \"无法从简历评估真实沟通能力，需技术面验证\"}}"
}
}