高搏

简历ID 40 初筛 #94 一致性 75

学历-经验时间线

gap_years 0
timeline_ok
graduation_year 2026
years_experience
estimated_work_start
expected_graduation_start 2048

技能-项目一致性

得分
75

声称技能 (24)

Python numpy matplotlib PyTorch 时间序列预测 自监督学习 掩码自编码器 MAE Visual MAE 大模型迁移适配 训练推理 数据预处理 特征工程 模型验证与优化 数据清洗 格式标准化 结果可视化 性能评估 PID参数优化 路径识别 循迹控制 英语六级 英文文献阅读 技术文档理解

项目中验证 (6)

格式标准化 路径识别 Python 数据清洗 循迹控制 掩码自编码器

仅在摘要中 (10)

Python numpy matplotlib PyTorch 时间序列预测 自监督学习 MAE Visual MAE 数据预处理 结果可视化

无证据 (7)

大模型迁移适配 训练推理 特征工程 模型验证与优化 英语六级 英文文献阅读 技术文档理解

完整原始数据

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    "mysql_resume_id": 40,
    "screening_id": 94,
    "skill_project_consistency": {
        "noisy_skills": [],
        "claimed_skills": [
            "Python",
            "numpy",
            "matplotlib",
            "PyTorch",
            "时间序列预测",
            "自监督学习",
            "掩码自编码器",
            "MAE",
            "Visual MAE",
            "大模型迁移适配",
            "训练推理",
            "数据预处理",
            "特征工程",
            "模型验证与优化",
            "数据清洗",
            "格式标准化",
            "结果可视化",
            "性能评估",
            "PID参数优化",
            "路径识别",
            "循迹控制",
            "英语六级",
            "英文文献阅读",
            "技术文档理解"
        ],
        "consistency_score": 75,
        "skills_in_summary_only": [
            "Python",
            "numpy",
            "matplotlib",
            "PyTorch",
            "时间序列预测",
            "自监督学习",
            "MAE",
            "Visual MAE",
            "数据预处理",
            "结果可视化"
        ],
        "skills_without_evidence": [
            "大模型迁移适配",
            "训练推理",
            "特征工程",
            "模型验证与优化",
            "英语六级",
            "英文文献阅读",
            "技术文档理解"
        ],
        "skills_verified_in_projects": [
            "格式标准化",
            "路径识别",
            "Python",
            "数据清洗",
            "循迹控制",
            "掩码自编码器"
        ]
    },
    "education_timeline": {
        "gap_years": 0,
        "timeline_ok": true,
        "graduation_year": 2026,
        "years_experience": null,
        "estimated_work_start": null,
        "expected_graduation_start": 2048
    },
    "salary_location_check": null,
    "skill_level_contradictions": null,
    "overall_consistency": 75,
    "flags": null,
    "created_at": "2026-06-29T10:06:55.000000Z",
    "resume": {
        "id": 40,
        "resource_id": 40,
        "source_text_sha256": "c0d71dbddacf55b22d50a5895013390721905bb38181de7c2fa65dae7dc87ccb",
        "target_role": "C++",
        "candidate_name": "高搏",
        "age": null,
        "phone": "13796916767",
        "email": "1191222506@qq.com",
        "wechat": "",
        "location": "北京",
        "highest_degree": "本科",
        "school": "北京邮电大学",
        "major": "信息与通信工程",
        "graduation_year": 2026,
        "years_experience": 0,
        "current_company": "",
        "current_title": "",
        "skills_json": [
            "Python",
            "numpy",
            "matplotlib",
            "PyTorch",
            "时间序列预测",
            "自监督学习",
            "掩码自编码器",
            "MAE",
            "Visual MAE",
            "大模型迁移适配",
            "训练推理",
            "数据预处理",
            "特征工程",
            "模型验证与优化",
            "数据清洗",
            "格式标准化",
            "结果可视化",
            "性能评估",
            "PID参数优化",
            "路径识别",
            "循迹控制",
            "英语六级",
            "英文文献阅读",
            "技术文档理解"
        ],
        "summary": "高搏,本科就读于北京邮电大学信息与通信工程专业,预计2026年毕业。参与ICML 2025顶会海报论文项目,围绕不规则多元时间序列任务开展数据预处理、Visual MAE模型适配、实验支撑、自监督训练链路辅助、结果可视化与性能评估。参加2024年北京市TI杯电子设计竞赛,负责数据采集预处理、路径识别与循迹控制逻辑、PID参数优化和系统调优。掌握Python、numpy、matplotlib,了解PyTorch、时间序列预测、自监督学习、MAE等。",
        "raw_text_path": "\/opt\/ai-recruiter-demo\/resume_resources\/2026\/06\/fb056bd232b19aba_raw.txt",
        "raw_text_url": "http:\/\/39.102.63.164\/resources\/resumes\/2026\/06\/fb056bd232b19aba_raw.txt",
        "parser_version": "resume-parser-v1.1+codex",
        "llm_used": true,
        "created_at": "2026-06-29T05:47:52.000000Z",
        "updated_at": "2026-06-29T12:57:02.000000Z",
        "deleted_at": null
    },
    "screening": {
        "id": 94,
        "mysql_resume_id": 40,
        "candidate_name": "高搏",
        "age": null,
        "highest_degree": "本科",
        "school": "北京邮电大学",
        "years_experience": null,
        "location": "北京",
        "current_company": "",
        "skills": [
            "Python",
            "numpy",
            "matplotlib",
            "PyTorch",
            "时间序列预测",
            "自监督学习",
            "掩码自编码器",
            "MAE",
            "Visual MAE",
            "大模型迁移适配",
            "训练推理",
            "数据预处理",
            "特征工程",
            "模型验证与优化",
            "数据清洗",
            "格式标准化",
            "结果可视化",
            "性能评估",
            "PID参数优化",
            "路径识别",
            "循迹控制",
            "英语六级",
            "英文文献阅读",
            "技术文档理解"
        ],
        "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": "本科",
            "severity": "must"
        },
        "check_experience": {
            "label": "经验",
            "detail": "经验年限未知",
            "matched": false,
            "evidence": "无法提取",
            "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": "未找到相关关键词",
            "severity": "must"
        },
        "bonus_arm": {
            "label": "加分项",
            "detail": "加分项:ARM架构经验",
            "matched": false,
            "evidence": "未命中",
            "severity": "bonus"
        },
        "bonus_image": {
            "label": "加分项",
            "detail": "加分项:图像处理\/计算机视觉",
            "matched": false,
            "evidence": "未命中",
            "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": "unknown",
        "redline_linux": "fail",
        "redline_location": "risk",
        "redline_single_day_off": "pending_interview",
        "match_score": 23,
        "hard_all_pass": false,
        "bonus_hit_count": 0,
        "cross_reference": {
            "flags": [],
            "is_noise": false,
            "education_timeline": {
                "gap_years": 0,
                "timeline_ok": true,
                "graduation_year": 2026,
                "years_experience": null,
                "estimated_work_start": null,
                "expected_graduation_start": 2048
            },
            "overall_consistency": 75,
            "skill_contradictions": [],
            "field_completeness_pct": 80,
            "skill_project_consistency": {
                "noisy_skills": [],
                "claimed_skills": [
                    "Python",
                    "numpy",
                    "matplotlib",
                    "PyTorch",
                    "时间序列预测",
                    "自监督学习",
                    "掩码自编码器",
                    "MAE",
                    "Visual MAE",
                    "大模型迁移适配",
                    "训练推理",
                    "数据预处理",
                    "特征工程",
                    "模型验证与优化",
                    "数据清洗",
                    "格式标准化",
                    "结果可视化",
                    "性能评估",
                    "PID参数优化",
                    "路径识别",
                    "循迹控制",
                    "英语六级",
                    "英文文献阅读",
                    "技术文档理解"
                ],
                "consistency_score": 75,
                "skills_in_summary_only": [
                    "Python",
                    "numpy",
                    "matplotlib",
                    "PyTorch",
                    "时间序列预测",
                    "自监督学习",
                    "MAE",
                    "Visual MAE",
                    "数据预处理",
                    "结果可视化"
                ],
                "skills_without_evidence": [
                    "大模型迁移适配",
                    "训练推理",
                    "特征工程",
                    "模型验证与优化",
                    "英语六级",
                    "英文文献阅读",
                    "技术文档理解"
                ],
                "skills_verified_in_projects": [
                    "格式标准化",
                    "路径识别",
                    "Python",
                    "数据清洗",
                    "循迹控制",
                    "掩码自编码器"
                ]
            }
        },
        "screening_verdict": "pending_interview_required",
        "screening_summary": "核心技能 Linux 在简历中完全无提及,需面试确认是否零经验。若确认零经验 → trigger core_skill_missing 红线",
        "pushed_to_feishu": false,
        "feishu_message_id": "",
        "created_at": "2026-06-29T10:06:55.000000Z",
        "updated_at": "2026-06-29T10:43:26.000000Z",
        "overall_score": "{\"composite\": 57.6, \"stability\": 45, \"pace_match\": 53, \"tech_power\": 50, \"salary_match\": 85, \"communication\": 75, \"salary_match_source\": \"inferred_from_profile\"}",
        "risk_flags": "[{\"type\": \"tech_borderline\", \"detail\": \"技术力偏低(评分50\/100),建议技术面重点考察\", \"severity\": \"medium\"}, {\"type\": \"low_stability\", \"detail\": \"稳定性存疑(评分45\/100)\", \"severity\": \"high\"}, {\"type\": \"pace_concern\", \"detail\": \"节奏匹配度偏低(评分53\/100)\", \"severity\": \"medium\"}]",
        "recommended_action": "pending_with_caution",
        "score_breakdown": "{\"stability\": {\"score\": 45, \"weight\": 0.25, \"rationale\": \"基于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\": 53, \"weight\": 0.2, \"rationale\": \"地点: 北京 + 普通 + 0年\", \"confidence\": \"medium\"}, \"tech_power\": {\"score\": 50, \"weight\": 0.3, \"evidence\": [\"学历: 通过\", \"经验: 0年\", \"Linux: 弱\", \"加分: 0\/3\", \"交叉验证一致性: 75%\"], \"rationale\": \"硬性条件匹配 + 经验0年 + 6个项目 + 一致性75%\", \"confidence\": \"medium\"}, \"salary_match\": {\"score\": 85, \"source\": \"inferred_from_profile\", \"weight\": 0.2, \"rationale\": \"未提取到薪资数字,根据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\"}}"
    }
}