Machine-readable resume — fetched and edited by AI agents (Claude, Cursor, ChatGPT) through the cv-pro CLI or MCP. Also served as raw JSON at /caicai.json.
{ "username": "caicai", "header": { "name": "caicai", "tagline": "AI 算法工程师 → 大厂 FDE | 会 build 能落地 · 找 AI 解决方案 / FDE 岗" }, "personalInfo": { "email": "待补充@email.com", "phone": "", "location": "青岛", "pronouns": "", "mbti": "", "birthday": "" }, "experience": [ { "company": "青岛阅海信息公司", "role": "AI 算法工程师", "startDate": "2026-05", "endDate": "至今", "bullets": [ "为海洋局、港口等 ToB/ToG 客户构建垂类大模型与 Agent，直接参与客户需求沟通与产品交付", "独立用 LLM + Agent 框架端到端交付智能体应用，覆盖一线预报、数据查询等真实业务场景", "目标：把 AI 落地的全链路能力（摸需求→Build→交付→客户验证）闭环到自己手里" ], "tags": [ "LLM 微调", "Agent 开发", "垂类大模型", "ToB/ToG 交付", "Python", "RAG" ] } ], "education": [], "projectsRecent": [], "projectsDetailed": [], "skills": [ { "name": "AI 工程", "items": [ "LLM 微调与推理部署", "Agent 开发框架", "RAG 检索增强生成", "Prompt Engineering" ] }, { "name": "工具箱", "items": [ "Python", "Cursor", "Claude Code", "Git" ] }, { "name": "FDE 能力（在建设）", "items": [ "薄切片端到端交付", "现场需求挖掘(Echo)", "可辩护 ROI 计算", "ToB 客户现场沟通" ] } ], "contact": [], "meta": { "updatedAt": "2026-06-30T08:44:00.346Z" } }