{
    "basic_info": {
        "name": "宋宝玉",
        "gender": null,
        "phone": "15215365890",
        "email": "songbaoyu1996@foxmail.com",
        "age": null,
        "birth_date": null,
        "location": null,
        "work_years": "4.0"
    },
    "education": [
        {
            "school": "聊城大学",
            "major": "通信工程",
            "degree": "学士",
            "graduation_year": "2019"
        },
        {
            "school": "北京工业大学",
            "major": "信息与通信工程",
            "degree": "硕士",
            "graduation_year": "2022"
        }
    ],
    "job_intention": {
        "expected_position": "模型相关岗位（C++）",
        "expected_salary": null,
        "expected_city": null,
        "availability": null
    },
    "skills": [
        "大模型推理优化与部署（量化、剪枝、蒸馏、微调、分布式部署）",
        "主流大模型架构及VLLM原理、TensorRT-LLM",
        "C++11\/14\/17新特性及Linux系统项目开发",
        "CMake项目构建与Git协同开发",
        "常用数据结构与设计模式",
        "Docker容器技术与Linux命令",
        "开发辅助工具（GDB\/Valgrind\/Vim\/Shell）",
        "OpenCV图像前后处理",
        "CUDA编程与GPU架构（算子编写、性能优化、CUTLASS、Nsight）",
        "AI推理卡SDK接口（CNStream\/TensorRT\/CANN\/RKNN\/SOPHON）",
        "昇腾AI环境搭建与DVPP+VPC SDK硬解码",
        "模型转换与优化（AIPP、NMS合并、ONNX转化、FP16量化、国密SM2加密）",
        "Pipeline引擎开发与libevent框架",
        "Pybind11封装与CPack打包部署",
        "多线程\/异步编程与内存优化（线程池、对象池、页锁定内存）",
        "多硬件适配与板卡调度算法（寒武纪\/昇腾\/算能\/NVIDIA）",
        "视觉模型（YOLO\/STDC\/ResNet\/OCR\/DINOv3）部署与前后处理",
        "边缘设备（ARM\/Jetson\/瑞芯微）推理服务开发与数据零拷贝"
    ],
    "work_experience": [
        {
            "company": "浪潮软件集团有限公司",
            "position": null,
            "duration": "2022\/07\/12 - 2026\/07\/25",
            "description": null
        }
    ],
    "project_experience": [
        {
            "name": "某市政府视频监控项目",
            "role": "模型部署与视频文件硬解码",
            "duration": null,
            "description": "负责昇腾AI服务器（Atlas 800I A2）基础环境搭建，包括驱动与固件安装；参与语音大模型在昇腾AI推理卡（310P3 96G*2）上的分布式部署，使用FP16精度和Nginx负载均衡，实现约32~35倍音频分析速率；负责昇腾310P3上的硬解码模块，基于DVPP+VPC SDK使用C\/C++开发多线程快速解码及前处理，单路达300+FPS并稳定运行；负责昇腾om模型转换，使用AIPP合并resize\/padding\/归一化，编写Python脚本合并NMS，减少CPU利用率并提高推理速度。"
        },
        {
            "name": "多异构硬件AI推理服务平台",
            "role": "推理引擎开发、模型部署与边缘设备适配",
            "duration": null,
            "description": "国内线缆行业缺陷检测领域基于视觉的推理服务平台。参与推理服务C端与S端开发，C端基于JSON配置驱动Pipeline引擎，S端通过条件编译封装多种AI芯片SDK，使用工厂模式结合libevent实现多任务注册分发。使用CMake跨平台构建，Pybind11封装Python接口，CPack生成deb安装包配合shell实现Docker一键部署。进行性能优化，使用线程池、对象池、异步拷贝、页锁定内存、CUDA编写NMS后处理、短自旋休眠及C++11\/14\/17新特性。适配多种硬件（寒武纪、昇腾、算能、NVIDIA），使用相关SDK编写推理模块并设计板卡调度算法。负责传统视觉模型及视觉大模型（DINOv3）的转换、量化（FP16）、加密（国密SM2）与前后处理（OpenCV）。适配边缘设备（ARM），包括Jetson\/算能\/瑞芯微，构建多线程Pipeline实现数据零拷贝，封装为动态库解决开发板性能问题。"
        }
    ],
    "certifications": [],
    "self_evaluation": null
}

{
    "events": [
        {
            "eventName": "ObjectCreated:PutObject",
            "eventSource": "acs:oss",
            "eventTime": "2026-08-04T10:23:30.000Z",
            "eventVersion": "1.0",
            "oss": {
                "bucket": {
                    "arn": "acs:oss:cn-hangzhou:1748673497100614:langbowei-static",
                    "name": "langbowei-static",
                    "ownerIdentity": "1748673497100614",
                    "virtualBucket": ""
                },
                "object": {
                    "deltaSize": 612208,
                    "eTag": "B49169E6C2ACC28F7480D9EE73C88844",
                    "key": "resumes\/1-6a71bda2-15198b-b53865512ce7__widget_1704704635359_0.pdf",
                    "objectMeta": {
                        "mimeType": "application\/pdf"
                    },
                    "size": 612208
                },
                "ossSchemaVersion": "1.0",
                "ruleId": "6ace21aabfd5f4f41034504922b3ff7128aa76bb"
            },
            "region": "cn-hangzhou",
            "requestParameters": {
                "sourceIPAddress": "172.16.0.123"
            },
            "responseElements": {
                "requestId": "6A71BDA251670F32304344F7"
            },
            "userIdentity": {
                "principalId": "300034963247836315"
            }
        }
    ]
}