定向投递页 Focused Route

产品 / AI 应用方向 Product / AI Applications Track

拆需求、做原型、做小程序，上线过可用版本。 Breaks down requirements, prototypes, and ships usable mini program versions.

这一页面向产品和 AI 应用岗位。重点放在需求拆解、功能取舍、交互设计和上线经验。 This page is for product and AI application roles. It focuses on requirement breakdown, feature trade-offs, interaction design, and release experience.

能识别问题，拆成功能清单和 MVP Identifies problems and turns them into feature lists and MVPs
用 GPT、Gemini、Codex 提高开发和调试效率 Uses GPT, Gemini, and Codex to speed up development and debugging
独立完成需求、交互、开发和上线 Completed requirements, interaction design, development, and release independently

适合 AI 应用、技术产品、产品策划、原型与增长探索类岗位。 Best matched for AI applications, technical product, product planning, prototyping, and exploratory product roles.

下载该方向简历 Download this resume 联系我 Contact me

核心证据 Core Evidence

三组项目和经历。 Three project and experience groups.

同一批材料，按当前方向调整顺序。 The same material set is reordered for this direction.

AI 应用与独立开发 AI Application & Solo Development 2025.12

知匣 AI 记忆盒子 Zhixia AI Memory Box Mini Program

针对 AI 对话上下文容易丢失的问题，独立做了一个微信小程序。功能包括存储、检索和管理 AI 会话内容。 Built a WeChat mini program for lost AI conversation context. It stores, retrieves, and manages AI-generated conversation records.

接入云数据库，实现标签分类、关键词搜索、置顶、回收站、导入导出与云同步。 Integrated cloud data storage with tagging, keyword search, pinning, recycle bin, import/export, and sync.
借助 GPT、Gemini、Codex 辅助需求拆解、代码生成、调试优化与快速迭代。 Used GPT, Gemini, and Codex to support requirement breakdown, code generation, debugging, and fast iteration.
7 天内完成可用版本上线，覆盖从问题发现到发布。 Shipped a usable version in seven days, from problem discovery to release.

7-day launchSolo buildCloud syncWeChat ecosystem

论文与算法 Research & Algorithms 2025.03 - 2025.11

基于深度学习的单镜头退化图像恢复研究 Single-Lens Degraded Image Deblurring via Deep Learning

研究单镜头成像中的空间非均匀模糊和高频衰减。完成退化分析、数据构建、模型训练、指标评估和论文投稿。 Studied spatially variant blur and high-frequency loss in single-lens imaging. Completed degradation analysis, dataset creation, model training, evaluation, and paper submission.

用 Python 与 PyTorch 搭建两阶段去模糊流程，构建约 4800 组 blur-sharp 成对数据。 Built a two-stage deblurring pipeline in Python and PyTorch with roughly 4,800 blur-sharp pairs.
设计无归一化残差主干，引入多尺度重建损失、边缘一致性与低权重对抗学习。 Designed a non-normalized residual backbone with multi-scale reconstruction loss, edge consistency, and low-weight adversarial learning.
完成消融实验、指标评估与论文撰写，并以第一作者发表于 IEEE 国际会议。 Completed ablation studies, evaluation, and paper writing, then published the work as first author at an IEEE conference.

PSNR 33.19SSIM 0.9383LPIPS 0.0556+4.23 dB vs baseline

组织推进 Coordination & Execution 2024.09 - 2025.06

研究生大班长与团队协同 Graduate Cohort Coordination

负责年级事务，协同 2 名副班长和 5 名小班长。工作包括通知传达、师生沟通、活动组织和问题协调。 Coordinated graduate cohort operations with two deputy monitors and five class representatives. Work included notices, faculty-student communication, events, and issue tracking.

负责分工、跟进与反馈，保证信息和行动在多个角色之间顺畅传递。 Handled task splitting, follow-ups, and feedback loops across multiple roles.
持续处理碎片化需求和突发问题，保证事项按时推进。 Handled fragmented requests and interruptions while keeping tasks on schedule.
可作为技术支持和交付协同岗位的组织经历。 Relevant coordination experience for support and delivery roles.

岗位判断 Role Fit

为什么这些经历对当前方向有效。 Why these experiences matter for this track.

能识别问题，拆成功能清单和 MVP Identifies problems and turns them into feature lists and MVPs

用 GPT、Gemini、Codex 提高开发和调试效率 Uses GPT, Gemini, and Codex to speed up development and debugging

独立完成需求、交互、开发和上线 Completed requirements, interaction design, development, and release independently

荣誉与证明 Recognition

奖学金、优秀学生和志愿服务证明。 Scholarship, outstanding student, and volunteer service records.

这些材料用于补充学习成绩、执行稳定性和现场服务经历。 These records support academic performance, reliable execution, and on-site service experience.

研究生一等奖学业奖学金 First-Class Graduate Scholarship

前 10% Top 10%

优秀学生 Outstanding Student

前 5% Top 5%

金钥匙一星志愿者 Golden Key Volunteer

投洽会志愿服务荣誉 Recognition for fair volunteer service

简历下载 Resume Pack

这一页的下一步动作已经准备好。 The next step for this track is ready.

下载这条岗位线的定向简历，然后直接通过邮箱联系我。如果希望继续用微信沟通，可以在邮件里备注，我会按投递场景提供。 Download the tailored resume for this track and contact me by email. If you prefer WeChat for the next conversation, mention it in the email and I will share the suitable contact method.

产品 / AI 应用方向 Product / AI Applications Track 下载 PDF Download PDF

联系我 Contact

简历和联系方式在这里。 Resume files and contact details are here.

邮箱 Email hezhichao08@163.com

微信沟通 WeChat 可在邮件中备注微信沟通，我会回传微信方式。 Mention WeChat in your email and I will share the best contact method.

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