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Computer Code Programming
Fine-tuning
Data Collection代码安全漏洞检测系统（研发）—借助预训练模型训练Transormer并微调大模型以检测代码漏洞并生成修复建议. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include PyTorch, Internal, and Proprietary Tooling. Education includes Master of Engineering, Wuhan University of Science and Technology (2026) and Bachelor of Engineering, Wuhan University of Science and Technology (2023). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning and Data Collection.
Fine-tuning参与代码漏洞检测系统的模型训练与微调流程，目标是从源码提取漏洞特征并生成检测结果与修复建议。围绕Transormer架构模型完成训练与模型调用相关的数据处理与交互。通过对关键代码与模型进行训练迭代以提升系统检测能力。• 处理源码漏洞特征提取所需的代码数据并支持训练用数据交互。• 将预训练基座模型用于漏洞相关特征学习并完成下游微调。• 参与检测系统接口设计、模型训练与系统授权等落地工作。• 以性能指标为导向进行模型与系统效果优化以提升精度与速度。
Data Collection在项目实现过程中承担数据安全与数据库关键信息加密等与数据处理相关的工作。主要围绕后端功能升级与数据库安全能力建设以支撑平台稳定运行。该经历未明确描述标注流程，但包含面向数据安全的结构化数据处理与系统实现。• 参与项目原有功能优化升级与新增功能设计实现。• 进行数据库关键信息加密相关的数据处理实现。• 支持平台数据安全能力以保障信息呈现与导出功能。• 通过稳定性与安全性优化提升用户使用体验。
Master of Engineering, Electronic Information (Professional Master’s)
Bachelor of Engineering, Information Security
Software Engineer (Security AI System)
Software Engineer (Backend/ML Security System)
