AI Portfolio / Personal Positioning System

Building AI-powered workflows for data, content, and product thinking.

我正在用 AI 构建项目、流程、分析系统、内容系统和个人知识系统。

AI product operations candidate with frontline 3C and smart-hardware experience, using AI to connect user needs, content production, data feedback, workflow design, and public project evidence.

AI Product Operations CandidateAI Product Assistant CandidateContent & Data Operations3C / Smart Hardware Operations
AI tool power userAI product operationsAI product assistantContent productionData analysis3C / smart hardwareVideo editingContent and data operations
Building in public Current location: Yinchuan, Ningxia Target cities: Hangzhou / Shanghai Current version: Step 8 resume-integrated static portfolio Last updated: 2026-06
Capability / Project / Workflow
AI-assisted
Project Builder
CapabilityProjectWorkflowEvidenceOutput
Portfolio SystemAI + Data + Product
Main Evidence5 project tracks
Workflow LayerData / Content / Docs

Personal Capability Narrative

From AI tool user to workflow builder.

A candidate for AI product operations, AI product assistant, content operations, and data analysis roles. Combines frontline 3C and smart-hardware business experience with long-term AI tool usage, user communication, content production, data feedback analysis, and workflow building.

01

From AI tool user to workflow builder

The current goal is to move beyond tool fluency and learn how to design repeatable systems that produce useful outputs.

02

AI should enter real business processes

I care about how AI connects with data, content, operations, product decisions, and human review rather than existing as a separate toy.

03

Learning must become visible evidence

I prefer learning through projects, dashboards, workflows, and public artifacts so that ability can be inspected and improved.

04

Fast execution with careful review

My advantage is not pretending to know everything, but learning quickly, shipping prototypes, and tightening them with feedback.

AI Usage Experience

Long-term AI tool usage, applied to real work rather than inflated claims.

The timeline shows how AI moved from writing assistance into content production, prompt design, data understanding, requirement breakdown, and project iteration.

2022 lateAI practice

Started using ChatGPT

Began using ChatGPT for content understanding, writing assistance, prompt exploration, and task decomposition.

ChatGPT
Use casesContent production / Prompt design / Task decomposition
2024-2025AI practice

Broad domestic AI tool exploration

Experienced mainstream domestic AI tools during the rapid growth of AI software, with high-frequency use of DeepSeek and Tongyi Qianwen.

DeepSeekTongyi QianwenJimengComfyUI
Use casesContent generation / Image prompt writing / Data understanding / Workflow experiments
NowAI practice

AI-assisted project building

Uses OpenAI GPT and Codex as daily working tools for content systems, project iteration, requirement breakdown, data interpretation, and automation-oriented workflows.

OpenAI GPTCodexGeminiDeepSeekTongyi Qianwen
Use casesProject implementation / Requirement breakdown / Data interpretation / Automation progress

Capability Matrix

Ability shown through evidence, not progress bars.

Each capability is connected to project proof, current stage, and the keywords that describe how it is being built.

BuildingEvidence-linked

AI Workflow Building

Use GPT, Codex, DeepSeek, Tongyi Qianwen, Gemini, ComfyUI, and Jimeng to design repeatable input-processing-review-output systems.

EvidenceAI usage covers content production, prompt design, data understanding, requirement breakdown, and automation-oriented project progress.
AutomationPrompt DesignHuman-in-the-loopSystem Design
AppliedEvidence-linked

Prompt Engineering

Turn ambiguous goals into structured prompts, evaluation criteria, output templates, and review loops.

EvidenceNewsletter localization prompts, analysis prompts, visual prompt packs, and voiceover scripts.
Prompt SystemsOutput ControlReview Criteria
BuildingEvidence-linked

Codex / AI Coding

Use AI coding agents to scaffold projects, inspect files, implement changes, and verify build results.

EvidenceThis portfolio uses a zero-dependency static build with data-driven rendering and deployment config.
CodexStatic BuildProject Iteration
BuildingEvidence-linked

Data Analysis

Collect, clean, segment, visualize, and explain data with an operations and business perspective.

EvidenceSteam review analytics project structure includes rating, language, playtime, topic, and sentiment analysis.
PandasReview DataInsight
LearningEvidence-linked

SQL & Metrics Thinking

Build the habit of defining metrics, dimensions, comparison windows, and decision-relevant cuts.

EvidenceLearning path connects SQL foundations to dashboard projects and business interpretation.
MetricsSegmentationBusiness Questions
BuildingEvidence-linked

Dashboard & Visualization

Translate analysis into interfaces that help readers compare, scan, and decide.

EvidenceDashboard outputs planned for Steam reviews and Black Myth business analysis.
StreamlitChartsNarrative
GrowingEvidence-linked

Product Operations Thinking

Connect user feedback, product experience, workflow constraints, business goals, and operational next steps.

EvidenceFrontline 3C and smart-hardware work provides direct experience in user communication, product explanation, store operations, and review loops.
OperationsUser Feedback3C RetailPrioritization
AppliedEvidence-linked

Content Operations

Convert source material into localized, platform-ready, reusable content packages for articles, scripts, visual prompts, and voiceover drafts.

EvidenceAndrew's Letter pipeline maps English source input to Chinese article, script, prompt, and voiceover assets.
LocalizationMulti-platformVideo ScriptPublishing
GrowingEvidence-linked

Research & Synthesis

Collect fragmented information, organize it into themes, and communicate the implications clearly.

EvidenceBusiness analytics and essay placeholders are structured around argument, evidence, and key idea.
ResearchSynthesisWriting
AppliedEvidence-linked

Learning System

Turn continuous learning into a structured path with evidence, outputs, and compounding artifacts.

EvidenceTimeline shows the path from AI tool adoption to public portfolio and personal knowledge system.
Learning in PublicKnowledge BaseReflection

Role Fit Logic

Why AI product operations and content-data operations fit this background.

I have a foundation in frontline business, user communication, and smart-hardware product understanding, while continuously using AI tools to make work more structured and repeatable. Compared with a single execution role, I am better suited to work that connects requirements, content efficiency, data feedback, and project progress in real business scenarios.

Long-term AI tool usage

From ChatGPT to Codex, DeepSeek, Tongyi Qianwen, Gemini, ComfyUI, and Jimeng, AI has been used in real tasks rather than only casual experiments.

Frontline business understanding

3C and smart-hardware retail experience supports user communication, product explanation, sales conversion, store operations, and product training.

Portfolio-based evidence

Current projects show content workflows, data dashboards, user-feedback analysis, and operation review thinking through public artifacts.

Featured Projects

A portfolio built around capability evidence.

Projects are structured as case studies: value, process, outputs, business meaning, learning, and next steps.

RetailOps Agent:3C 门店经营 AI 助手 preview
Cloudflare Pages Preview 已部署 AI 产品经理作品集 MVP / AI Agent / 零售经营 / 数据分析

RetailOps Agent:3C 门店经营 AI 助手

3C 门店经营 AI Agent:面向智能硬件单店经营的 AI 助手

一个面向 3C / 智能硬件单店经营场景的 AI PM 作品集 MVP,用本地样例数据和 Rules / Mock Agent 串联经营看板、问题诊断、知识库、话术、日报和质检闭环。

AI AgentAI 产品经理零售经营数据分析作品集 MVPRules Agent

Highlights

  • 围绕单店经营搭建 7 个 P0 页面:首页、经营看板、问题诊断、知识库、话术生成、经营日报、Agent 质检。
  • 使用本地样例数据和 Rules / Mock Agent,明确标注非真实商业系统、非真实用户数据、非真实经营结果。
  • 已完成 Cloudflare Pages Preview 部署,并完成 7 个线上页面访问检查与截图归档。

Process

    Business Value

    View case study Demo Repo coming soon
    AI体检报告解读与健康行动助手 preview
    Product analysis / PRD / AI workflow complete; demo pending AI Health Product / Product Design

    AI体检报告解读与健康行动助手

    把体检报告转化为可理解、可执行、可追踪的健康行动。

    一个将体检报告转化为健康行动的 AI 产品设计项目,面向普通体检用户和家庭健康管理者,覆盖报告上传、OCR 识别、指标结构化、异常项解释、关注优先级、健康行动计划、AI 追问、安全审核和长期健康档案。

    AI健康产品PRDPrompt设计RAG知识库医疗安全边界MVP路线

    Highlights

    • 体检报告上传、OCR 识别与指标结构化
    • 异常指标解释、关注优先级和健康行动计划
    • Prompt = 目标 + 范围 + 流程 + 结果的产品化方法

    Process

    • 上传报告
    • OCR 识别
    • 指标结构化
    Business Value

    帮助用户从难懂的体检指标进入更清晰的健康信息理解、复查提醒、医生沟通准备和长期健康档案管理,同时明确不替代医生判断。

    View case study Demo coming soon Repo coming soon
    统一进度反馈组件 preview
    Pre-analysis / PRD / retrospective complete; demo pending Product Experience / Component Design

    统一进度反馈组件

    从进度条 UI 出发,构建可复用的任务状态反馈系统。

    围绕上传、导出、AI生成、视频转码、审核等耗时任务场景,系统拆解用户在等待过程中的不确定性、焦虑感、重复操作和中途退出问题,将“加载中”升级为可感知、可解释、可恢复、可复用的任务状态反馈机制。

    产品体验优化PRD基础组件任务状态反馈埋点设计项目复盘

    Highlights

    • 将进度条 UI 上升为统一任务状态反馈能力
    • 覆盖按钮 loading、百分比进度、阶段型进度和异常恢复
    • 区分可计算任务与不可计算任务,避免伪造百分比

    Process

    • 识别等待场景
    • 拆解用户不确定性
    • 定义任务类型
    Business Value

    通过统一耗时任务反馈,降低用户等待不确定性、重复点击和中途退出风险,同时减少不同模块重复开发和体验割裂。

    View case study Demo coming soon Repo coming soon
    Steam Game Review Analytics Dashboard preview
    Building / MVP Data Analytics / Game Operations

    Steam Game Review Analytics Dashboard

    From Steam reviews to operating insight.

    A data project around Steam game review collection, cleaning, analysis, visualization, and game-operation recommendations.

    Steam ReviewsPythonPandasStreamlitSentimentGame Ops

    Highlights

    • Steam review collection and cleaning
    • Positive rating, review volume, keyword, sentiment, and playtime analysis
    • Player feedback issue discovery and operation optimization framing

    Process

    • Collect reviews
    • Clean fields
    • Define metrics
    Business Value

    Shows how player feedback can be turned into practical signals for product operation, user issue discovery, localization, and content decisions.

    View case study Demo coming soon Repo coming soon
    《黑神话:悟空》商业与运营数据分析 preview
    Evidence-bound Private Preview AI Product / Data-driven Product Analysis / Portfolio Project

    《黑神话:悟空》商业与运营数据分析

    Evidence-bound Game Business Analytics Dashboard

    基于公开 Steam 信号、公开销量节点、媒体评分、竞品对比和有限评论样本,整理为证据边界版游戏商业分析看板。项目展示公开数据组织、结论边界管理、Dashboard 结构设计、响应式 QA 和 Cloudflare Preview 部署验证能力。

    AI 产品分析游戏商业分析数据驱动研究Evidence-bound AnalysisSteam / Cloudflare PreviewDashboardNot Public Production

    Highlights

    • Cloudflare Preview 在线 QA 已完成,使用 alias 与唯一部署 URL 双重记录。
    • Endpoint、dashboard-only、桌面端、390px 移动端、BackToTop 与 claim-boundary 检查通过。
    • 线上页面已收敛为 dashboard-only:保留核心看板、KPI、19 张图表卡、3 个表格、竞品对比、Reports 区域和语言切换。

    Process

    • Collect public signals
    • Map topics
    • Compare markets
    Business Value

    把现象级游戏项目拆成公开信号、数据看板、证据边界和作品集叙事,体现面向 AI 产品与数据运营岗位的结构化分析能力。

    View case study Demo Repo coming soon
    Apple Watch Product Business Research preview
    Research in progress Product Research / Business Analysis

    Apple Watch Product Business Research

    A full-chain product and business research case.

    A structured research project around Apple Watch product positioning, user needs, feature evolution, ecosystem value, business model, supply chain, and competitive landscape.

    Apple Watch22章增强版全链路研究商业分析产品战略供应链生态系统

    Highlights

    • Product positioning and target user analysis
    • Feature evolution and health ecosystem review
    • Business model and ecosystem value breakdown

    Process

    • Define questions
    • Collect public materials
    • Map user needs
    Business Value

    Trains the ability to connect product design, user scenarios, ecosystem strategy, commercial value, and structured report writing.

    View case study Demo coming soon Repo coming soon
    Andrew's Letter AI Content Pipeline preview
    MVP AI Content Operations

    Andrew's Letter AI Content Pipeline

    English AI newsletter to Chinese multi-platform content pack.

    A workflow for understanding deeplearning.ai Andrew's Letter and transforming it into Chinese articles, scripts, image prompts, voiceover text, and platform assets.

    AI NewsletterLocalizationWeChatShort VideoPrompt PackVoiceover

    Highlights

    • English AI weekly report understanding
    • Chinese localization, viewpoint extraction, and platform rewriting
    • WeChat article, short-video script, and storyboard text generation

    Process

    • Extract key ideas
    • Localize in Chinese
    • Adapt platform formats
    Business Value

    Compresses the AI content production cycle while keeping human review as the quality gate and adapting one source into multi-platform assets.

    View case study Demo coming soon Repo coming soon
    AI Resume-to-PDF Workflow preview
    Planned / Prototype Document Automation

    AI Resume-to-PDF Workflow

    Image resume to editable, reviewed, exportable PDF.

    A document automation workflow connecting OCR, structured extraction, human review, layout generation, and PDF output.

    OCRStructured DataHuman ReviewPDFResume Parsing

    Highlights

    • Image resume input and OCR
    • Structured information extraction
    • Human-in-the-loop correction

    Process

    • Upload image
    • Run OCR
    • Extract fields
    Business Value

    Reduces manual document formatting work while preserving accuracy through review checkpoints.

    View case study Demo coming soon Repo coming soon
    个人主页与作品集内容系统 preview
    真实上线 / 持续迭代中 Personal Portfolio / Content System

    个人主页与作品集内容系统

    一个围绕 AI 产品运营 / 产品助理方向搭建的可持续迭代个人作品集系统。

    将个人定位、产品项目、产品分析、研究思考、文档资产、SEO、审计检查和 Cloudflare 部署流程整合成一个可公开访问、可持续更新的内容产品系统。

    个人主页作品集系统内容系统静态站点Cloudflare PagesSEO产品化表达

    Highlights

    • 用结构化数据管理主页、项目、产品分析、文章、链接、SEO 和审计信息
    • 通过静态构建生成中文主页、英文页、项目详情页、分析详情页、文章页、sitemap、robots、content-audit 和 review-checklist
    • 从 Netlify 迁移到 Cloudflare Pages,并保留 GitHub / Cloudflare 更新流程

    Process

    • 确定个人定位
    • 搭建信息架构
    • 建立内容数据层
    Business Value

    让个人能力、项目资产、产品分析和长期思考不再分散在简历或文件夹里,而是沉淀为一个可访问、可维护、可审计、可持续更新的内容产品。

    Personal Thinking Library / Reading System preview
    Planned / Building Knowledge Management

    Personal Thinking Library / Reading System

    A long-term knowledge base for reading, research, and AI-assisted thinking.

    A personal system for recording books, notes, ideas, AI-assisted summaries, and essay drafts as long-term cognitive assets.

    Reading SystemKnowledge BaseAI SummaryEssaysResearch

    Highlights

    • Book and article summaries
    • Personal thinking cards
    • AI-assisted understanding and synthesis

    Process

    • Capture input
    • Summarize
    • Tag ideas
    Business Value

    Builds a durable learning asset that supports communication, research, and product thinking.

    View case study Demo coming soon Repo coming soon

    Career Evidence

    Frontline business experience that supports AI operations work.

    These cards keep the resume evidence compact and connect it back to user communication, product explanation, training, activity execution, and data feedback.

    2023 - 2025Store Manager

    Xiaomi Home

    • Managed daily store operations, including sales targets, staff collaboration, customer reception, product explanation, and service experience optimization.
    • Worked with phones, IoT, and smart-hardware product ecosystems, recommending solutions around user needs and purchase decisions.
    • Participated in staff coaching and training around product talking points, service standards, sales process, and user-issue handling.
    Portfolio relevanceSupports AI product operations through direct user communication, product experience judgment, and business execution experience.
    Earlier experienceBusiness / Operations

    Xiaotiancai / BBK-related business

    • Participated in terminal operations, channel support, and store collaboration for smart-hardware and education-related products.
    • Supported product training, selling-point communication, sales support, and user-feedback collection.
    • Worked on holiday activity execution and daily data summaries, focusing on sales performance, campaign effect, and terminal feedback.
    Portfolio relevanceConnects smart-hardware operations, product communication, activity execution, and data feedback with the target AI operations direction.

    Proof of Work

    Live evidence that this portfolio is a real, maintained project.

    This layer separates confirmed proof from placeholders, so reviewers can quickly see what is already real.

    Liveready

    Live Portfolio Site

    The portfolio is deployed on Cloudflare Pages and can be reviewed as a public static site.

    Open proof
    GitHubready

    GitHub Repository

    The source is version-controlled and prepared for a GitHub-based Cloudflare Pages workflow.

    Open proof
    Cloudflareready

    Cloudflare Pages Deployment

    The production site is hosted on Cloudflare Pages with static build output and public SEO files.

    Open proof
    Buildready

    Content-driven Build

    Portfolio content is managed from structured data and rendered into static pages.

    ready
    Pagesready

    Project Detail Pages

    Five project case-study pages and six thinking draft pages are generated from data.

    Open proof
    Auditready

    Content Audit

    The build outputs an audit report that tracks placeholders and next proof gaps.

    Open proof

    AI Workflow System

    Three representative workflows with review and feedback loops.

    The workflow area is the core of this portfolio: it shows how AI is used as a system layer, not a one-off chat interface.

    Input Steam Reviews

    Data Insight Workflow

    Data CleaningMetric DefinitionSegmentationDashboardOperation Insight
    Human-in-the-loop

    Check whether the metric story matches real player context before writing conclusions.

    Output

    Dashboard, insight memo, risk keywords, operation recommendations

    Feedback Loop

    New questions from the dashboard become the next analysis cut.

    Tools

    PythonPandasStreamlitAI-assisted analysis
    Turns scattered review text into decision-ready signals for game operations.
    Input English AI Newsletter

    Content Production Workflow

    UnderstandingChinese LocalizationScriptVisual PromptsVoiceoverArticle / Video
    Human-in-the-loop

    Review accuracy, tone, examples, and platform fit before publishing.

    Output

    WeChat article, short-video script, prompt pack, voiceover text

    Feedback Loop

    Audience response and editorial notes improve the next weekly template.

    Tools

    ChatGPTPrompt templatesMarkdownAI content tools
    Creates a repeatable path from high-quality English AI input to Chinese platform-ready output.
    Input Resume Image

    Document Automation Workflow

    OCRStructured DataHuman ReviewLayoutPDF
    Human-in-the-loop

    Verify names, dates, roles, and achievements before final rendering.

    Output

    Editable structured data and exportable PDF resume

    Feedback Loop

    Corrections update parsing rules and layout constraints.

    Tools

    OCRDocument templatesPDF generationManual review
    Connects AI extraction with practical document production while keeping accuracy under control.

    Learning Timeline

    From tool adoption to public portfolio.

    The path is designed to compound: each stage creates stronger evidence for the next stage.

    Stage 01

    AI Tool Adoption

    Started using AI as a daily assistant for search, writing, translation, and problem decomposition.

    EvidenceRepeated AI-assisted learning and task execution.
    NextMove from tool trials to stable workflow templates.
    Stage 02

    English & Knowledge Input

    Built the habit of reading English AI material and turning it into understandable notes.

    EvidenceAndrew's Letter pipeline concept.
    NextCreate reusable bilingual content templates.
    Stage 03

    SQL / Metrics Foundation

    Shifted from vague analysis to metric definitions, dimensions, and comparison thinking.

    EvidenceDashboard planning and data-analysis learning path.
    NextPractice real query problems and metric breakdowns.
    Stage 04

    Python / Data Analysis

    Began using Python and Pandas concepts for data cleaning, grouping, and analysis.

    EvidenceSteam review analytics project structure.
    NextAttach real datasets and publish notebooks or dashboards.
    Stage 05

    Dashboard Projects

    Started turning analysis into interfaces and stories readers can scan.

    EvidenceStreamlit dashboard plan for game review analysis.
    NextBuild a public demo and add screenshots.
    Stage 06

    Codex Project Workflow

    Used AI coding workflow to inspect requirements, edit files, build, and verify outputs.

    EvidenceThis zero-dependency static portfolio project.
    NextAdd routes, screenshots, and a real deployment.
    Stage 07

    AI Content Automation

    Connected source understanding, localization, scriptwriting, visual prompts, and publication assets.

    EvidenceAndrew's Letter AI Content Pipeline.
    NextRun the workflow on real weekly issues.
    Stage 08

    Personal Knowledge System

    Started treating reading and reflection as reusable long-term assets.

    EvidenceThinking library and essay placeholders.
    NextAdd real notes and publish first essays.
    Stage 09

    Product & Operation Thinking

    Connected projects to roles, business value, user feedback, and industry scenarios.

    EvidenceBusiness value fields across all project cards.
    NextWrite more complete case studies.
    Stage 10

    Public Portfolio

    Organized learning, projects, and positioning into a site that can be deployed and updated.

    EvidenceCloudflare Pages-ready static site.
    NextDeploy publicly and replace placeholders with real proof.

    Thinking / Essays

    Draft cards for public thinking and cognitive depth.

    6 minDraft

    AI Is an Environment, Not Just a Tool

    Thinking about AI as a layer around work rather than a single app.

    A reflection on why AI matters most when it is embedded into repeated processes.

    Key ideaAI becomes powerful when it changes how work is organized, reviewed, and shipped.
    AIWorkflowSystems
    Read draft
    7 minDraft

    The Second Half of the Information Age

    From access to information toward execution and synthesis.

    Why active learning and output ability become more important when information is abundant.

    Key ideaThe bottleneck is no longer finding information; it is turning information into action.
    LearningExecutionInformation
    Read draft
    5 minDraft

    Data as Foundation, AI as Amplifier, Business as Destination

    A practical framework for AI-era project building.

    A simple model for connecting technical ability to business outcomes.

    Key ideaData gives structure, AI increases speed, and business context decides usefulness.
    DataAIBusiness
    Read draft
    4 minDraft

    From Tool User to Workflow Builder

    The shift from trying tools to designing systems.

    A note on why the next level of AI ability is workflow design.

    Key ideaThe valuable unit is not a prompt; it is a repeatable workflow with review and output.
    WorkflowProduct OpsAutomation
    Read draft
    6 minDraft

    Learning Desire as the Core Ability in the AI Era

    Why motivation to keep learning becomes a durable advantage.

    A personal argument for curiosity, execution, and visible learning artifacts.

    Key ideaLearning desire compounds when it is connected to projects and feedback.
    LearningCareerGrowth
    Read draft
    8 minDraft

    Building a Personal Knowledge System with AI

    Turning reading, notes, and reflection into long-term cognitive assets.

    A plan for capturing inputs, summarizing ideas, linking themes, and producing essays.

    Key ideaA knowledge system should make retrieval, synthesis, and output easier.
    KnowledgeAIWriting
    Read draft
    8 min方法论总结 / 持续迭代

    Codex Prompt 优化建议

    从多个 Codex 项目 prompt 复盘中提炼出的 AI 工程协作提示词方法论。

    通过复盘 RetailOps Agent、黑神话悟空分析、Andrew's Letter 内容流水线和个人主页项目,提炼适合工程项目的 Codex prompt 方法论。

    Key idea高效 Codex Prompt = 目标 + 范围 + 流程 + 结果 + 验收 + 失败处理。
    Prompt EngineeringCodexAI 工作流项目管理验收标准失败处理
    Read draft

    Education

    Hohai University

    Bachelor / Energy and Power Engineering

    Period 2016.09 - 2020.06

    Resume / Profile

    High-level profile for AI, data, content, product, and game-related roles.

    Connecting AI tool usage, 3C frontline experience, content production, and data feedback into AI product operations work.

    Target Roles

    AI Product OperationsAI Product AssistantContent and Data Operations3C / Smart Hardware Operations

    Core Strengths

    Long-term high-frequency AI tool usageFrontline 3C and smart-hardware business experienceUser communication, product explanation, and sales-conversion understandingContent production, data feedback analysis, and workflow decomposition

    Tool Stack

    ChatGPTCodexDeepSeekTongyi QianwenGeminiComfyUIJimengSQLExcelPandasStreamlit

    Industry Interests

    AI products3CSmart hardwareGamesContent platformsProduct operationsData-driven operations

    Final resume PDF has been added. Phone and WeChat remain private and are not displayed on public pages.

    Download Resume

    Contact

    Open to AI product operations, AI product assistant, content, and data operations opportunities.

    Email is public and ready. Phone and WeChat are kept private for the public portfolio.