The Hong Kong Polytechnic University
Quantitative Finance and FinTech
Master’s
Hi, I’m WEN Xinyu (文欣瑜).
I explore the intersection of data, AI, and market.
A quantitative finance and fintech master’s student who enjoys learning across disciplines and turning open-ended questions into clear, useful analysis.
HelloWORLDMACHINE LEARNINGPRODUCT THINKING
About me
Shandong University of Finance and Economics
Information Management & Information Systems · Business Analytics
Bachelor’s
A curious generalist who knows a little about many things, always wants to learn one more—and still believes Ultraman will save the world.
CurrentlyMSc student in Quantitative Finance and FinTechSeekingData AnalystBased inShenzhen, Guangdong
More about me ↗Selected work
Projects built around real questions.
The content system is ready. Real case studies will be added here without changing the page components.
View all projects ↗
MarketMind AI
一个面向企业、产品经理、创业者与行业研究者的市场研究 Agent，将开放式问题转化为可追溯、可评分、可执行的结构化报告。
LangGraphFastAPINext.jsResearch Agent
AgileX Developer Center
为机器人开发者官网搭建的内容管理系统，在保留原有界面的同时，将科研项目与开源仓库升级为由后台维护、经 API 发布的动态内容。
Node.jsExpressSupabasePostgreSQLCMS
YiSu Hotel
DiscontinuedA full-stack hotel booking platform with a mobile-first guest experience, a PC administration system, multilingual support, and a RAG-powered hotel recommendation agent.
ReactNode.jsRAGAI Agenti18n
FirstCoder — Local Coding & Market Agent
A modular local Python agent that exposes the complete coding-agent workflow and extends it with stock-market analysis and investment-oriented recommendations.
PythonAgent LoopTool UseStock AnalysisCLI / TUI
Analytics Case Study
A future analysis showing how raw data becomes a clear finding, decision, and measurable recommendation.
AnalysisVisualizationProduct
ML Experiment
A reserved project for model development, experimental design, evaluation, and honest reflection on limitations.
ModelingExperimentMetrics
Capabilities
Technical depth, guided by product judgment.
AI & Agents
LLM applications, tool-using agents, retrieval workflows, and thoughtful evaluation.
Data & Analytics
Turning raw data into clear analysis, useful metrics, and decisions people can act on.
Machine Learning
From problem framing and experimentation to models that work under real constraints.
Product Engineering
Rapidly shaping ambiguous ideas into focused, usable products with AI-assisted development.
Experience
Learning through practical work.
A concise record of internships, collaborations, and hands-on experience. Detailed entries will be added as the portfolio grows.
Internship / Practice Experience
Organization placeholder
This entry is reserved for a concise description of scope, contribution, and outcome.
Research / Project Experience
Organization placeholder
Future entries will focus on decisions and impact rather than repeating résumé responsibilities.
Start a conversation
Have a role, project, or idea worth discussing?
Contact details will be added before launch. The site structure is ready for them.