.4,"environment":{"preset":"sunset","intensity":0.8,"rotation":0,"autoRotate":false,"rotateSpeed":0.3},"timelineTemplate":"card","nodeShape":"circle","nodeColor":"#ffd9b3","lineColor":"#f4f1ea","textColor":"#f4f1ea","accentColor":"#ffd9b3","defaultFont":"default","pointerParallax":true,"noiseEnabled":false,"noiseColor":"#8a8f99","noiseOpacity":0,"timelineParams":{"card":{"nodeShape":"diamond"}}},"hero":{"title":"关于我","body":" 一个 AI 领域的初学者，热衷于学习与实践，喜欢探索新事物。生活里是个 J 人，有点完美主义、小洁癖和强迫症，喜欢有序的生活。爱好健身，用自律留住热爱。","scrollHint":"下滑了解我","cornerTL":"袁天华","cornerTR":"2005/04","cornerBL":"悟已往之不谏· 知来者之可追","cornerRight":"学习 · 热爱 · 成长","camera":{"position":[-0.023345608217196022,0.13673218031495188,2.048641837483044],"target":[-0.00029450210877860275,-0.0008978324868753281,-0.00034245198981523083]},"cameraOverrides":{"tablet":{"position":[-0.017452628238304776,0.22090111916244412,2.385099107140284],"target":[-5.551115123125783e-17,5.551115123125783e-17,0]},"mobile":{"position":[-0.22110060250099786,0.42311123671917317,2.108450872264],"target":[-5.552644446158612e-17,5.5464527595606864e-17,-1.77832246376608e-20]}},"render":{"background":"rgb(105, 79, 79)","environment":{"preset":"city","intensity":0.5},"lights":{"ambient":{"intensity":1.05,"color":"#facdcd"},"key":{"intensity":1.35,"color":"#edcbcb","angle":122,"height":0.95}},"bloom":{"enabled":true,"intensity":1.15,"threshold":0.45},"dof":{"enabled":false,"focusDistance":1.9585977225260802,"focusRange":1,"bokeh":4}},"thumbUrl":"https://assets.intro3d.com/thumbs/gDJfuh7V32zemrENSgkpdG8CeWzy7Oln/41887510-f982-48bf-b2a8-70d171958589.webp","template":"editorial","links":[{"icon":"mail","url":"lovekb248@outlook.com","copy":true},{"icon":"phone","url":"15220232979","copy":true},{"icon":"github","url":"https://github.com/TianhuaYuan"},{"icon":"link","url":"https://porteryuan.top"}],"scrollHintFont":"plus-jakarta","titleFont":"default","titleColor":"default"},"loading":{"background":"rgba(105, 79, 79, 1)","text":"Loading…","spinnerStyle":"wave","spinnerColor":"#e7f0a4","template":"classic"},"portfolio":{"enabled":true,"template":"index","title":"个人作品集","hint":"Scroll on","bgColor":"#0a0c10","bgOpacity":0.76,"sections":[{"id":"1zuvzx8","title":"AI应用","items":[{"id":"g4k6vo5","name":"AI 求职智能助手","meta":" 2026.02 – 至今 · 持续迭代","role":"个人实践项目","body":"

面向求职者的 AI Agent：上传简历，自然语言提问，回答带引用来源，覆盖简历诊断、JD

匹配、面经检索、面试教练、求职信等求职全场景。

手写 asyncio ReAct 循环 + 23 个工具统一注册表，Agent 自己决定调用哪个工具、何时停。
RAG 全链路（查询改写 → 混合检索 → 重排 → 三维评估 → Reflexion 自纠错），拒答门控 + 答案溯源抑制幻觉。
四层记忆 + 实体知识图谱 + 三信号融合召回，让回答越来越懂你。
1644 项自动化测试 + 自建 Agent 黄金评测集。

","link":"https://github.com/TianhuaYuan/ai-resume-analyzer","tags":[]},{"id":"voqhonv","name":"自适应学习教练","meta":"2026.04 – 至今 · 持续迭代","role":"个人实践项目","body":"

面向学习者的自适应面试与学习教练，帮你找到真正的认知盲区，而不是盲目刷题。

核心是\"确定性内核 + LLM 外壳\"：LangGraph 编排 7 类 Worker，关键动作走人类在环审批（PlanGate），AI

只提建议、不擅自执行。

21 种学习事件全程留痕，可追溯、可回放；7 类认知盲区标签跨概念聚类，识别\"系统性\"问题。
证据化判卷防放水：代码算分 + 逐字引用校验，AI 不直接给分。
数据全本地存储，可一键导出 Obsidian，数据永远属于你