QIU Yuwen
My background combines technology, product, and data, which gives me a variety of skills, including front-end engineering, growth, and technical operations. In engineering, I have independently built full-stack or near-full-stack projects from scratch. Most recently, I developed the entire front-end for the hotel booking platform Easy-Stay using React + Vite, responsible for everything from responsive UI components and CSS design to API integration and back-end development. I also built an AI-driven cryptocurrency analytics agent using the LangGraph and SpoonOS frameworks, integrating tools like CoinGecko and Tavily. My preferred technology stack includes React, HTML/CSS/JavaScript, Bootstrap, Axios, and WebSocket, with Python being my most proficient scripting language. In terms of growth and operations, I gained practical experience at a tech startup (Shenzhen Weixi Technology Co., Ltd.), where I led end-to-end product testing, drove Product Hunt to get over 800 votes in 24 hours, and managed connections with AI content creators on YouTube and X to increase brand exposure and user acquisition.
Experience
Overseas Operations Growth - Internship
Shenzhen Weixi Technology Co., Ltd.
Shenzhen, China
Skill Testing and Selection: We deeply participate in the assessment of 50+ skills, and select and launch 5+ high-quality skills to significantly improve agent workflow efficiency and user stickiness. End-to-end product testing and issue discovery: Systematic testing covers multiple scenarios, independently discovering and recording 10+ key issues (involving UI experience, Agent reliability, tool call accuracy, sandbox security, etc.), providing important support for rapid product iteration and deployment quality. Product Hunt Launch: The team and seed users garnered over 800 votes within 24 hours by participating in voting campaigns on multiple channels including LinkedIn, Twitter, and WhatsApp, successfully topping the weekly chart. Collaborate with overseas content creators for promotion: Proactively reach out to overseas KOLs in the AI/tools field through platforms such as YouTube and X, facilitating collaborations with multiple creators in the field, resulting in significant brand exposure and user growth.
Research Center - Internship
Xi'an Clover Information Technology Co., Ltd
Xi'an, China
Conducted testing and analysis of web security products and platforms using tools including Burp Suite and SQLmap; systematically mapped user paths and risk points, producing detailed problem lists and optimization recommendations Analyzed functional defects and pain points in simulated attack environments (DVWA, Upload-Labs); performed data-driven validation to improve product security performance
- Collaborated with technical team to build testing environments, conduct post-test reviews, and summarize findings, enhancing data analysis capabilities and ensuring accurate, efficient reporting
Education
City University of Hong Kong
MSc
Courses：Internet Application Development、e-Business System Integration、Analysis and Design of ecommerce Systems、Machine Learning: Algorit &Apns、Data Engineering, etc. [anticipated]
Chang’an University
BEng
Major courses: University Computer Science (93), Systems Engineering (92.3), Python Programming (92), Artificial Intelligence and Modern Logistics (86), Logistics Optimization Algorithm Course Design (A), etc
Skills
Leadership Experience / Other Achievements
The 8th National Contest on Logistics Design by University Students - First Prize
Team Member (Responsible for Operations Optimization & Data Analysis)
Led warehouse optimization module; applied ABC inventory classification to stratify stock and collaborated with team to implement genetic algorithm + A* algorithm for path planning and layout design Identified operational efficiency bottlenecks and key performance indicators through business scenario analysis; coordinated data collection and scheme validation Developed AnyLogic simulation model to evaluate solution feasibility; produced documentation and visualizations demonstrating 25% operational efficiency improvement, contributing to national first prize
Project Experience
Hotel Reservation Management System Based on React and Vite - Frontend Developer
Product Design, Smart Contract Deployment & Frontend-Backend Integration
Easy-Stay is a full-stack hotel booking and management application that provides a mobile-friendly hotel search and booking experience, as well as an admin console for merchant onboarding and hotel approval processes. The front-end components focus on responsive UI/UX design, integrate with a unified Express backend, and support hotel filtering, detail viewing, and permission management, demonstrating the efficient application of React in web applications. Independently complete the overall front-end development, including: building the mobile interface (H5) using React + Vite, supporting hot module replacement and rapid development; implementing UI components for hotel search, filtering, and detail views; responsive layout and CSS style design; API integration (RESTful endpoints, such as /api/h5/hotels), configuring the proxy in vite.config.ts to connect to the local backend; developing the administrator dashboard interface, supporting hotel submission, approval, and publishing operations; and debugging front-end and back-end communication to ensure smooth data flow.
Smart Cryptocurrency Analysis Assistant Based on the SpoonOS Framework - Developer
Design and develop
SpoonOS-Agents is a cryptocurrency analytics agent project based on the SpoonOS framework. It implements both ReAct and Graph agent architectures for handling real-time price queries, technical indicators, on-chain data, and basic sentiment analysis. The project integrates tools such as CoinGecko, Tavily search, and Web3.py, supports various large models, and demonstrates the basic application of AI agents in Web3 scenarios. Independently complete the overall project development, including: implementation of ReAct Agent and Graph Agent (based on LangGraph); development of cryptocurrency-related tools (price query, on-chain data acquisition, sentiment search, etc.); multi-model compatibility configuration and basic error handling; writing and uploading README, usage examples, and demo videos.
AI Tool Platform System for Production Logistics (Graduation Thesis Project) - Frontend Developer
Design and develop
Designed and developed responsive frontend interfaces using HTML5, CSS3, Bootstrap, Axios, and WebSocket; ensured cross-device consistency and intuitive user interaction
- Implemented data ingestion (file upload/database connection), preprocessing (missing/outlier handling), model training/evaluation with parameter tuning and visualization, and system administration modules
- Enabled end-to-end machine learning pipeline supporting multi-source data integration and rapid model iteration; achieved over 20% improvement in resource allocation efficiency in validated production logistics cases
Menstrual Hut – Web3 Decentralized Platform for Women’s Bodily Experiences
Frontend Development & Product Design
· Project Introduction: Menstrual Hut is a Web3 hackathon project focused on reclaiming women’s bodily sovereignty. Built on Avalanche Fuji Testnet, it enables anonymous recording of menstrual experiences and emotions through Solidity smart contracts and IPFS, ensuring immutable on-chain storage and community sharing with MOON governance token incentives. · Project Responsibilities: Led product design: defined core user flows, information architecture, user roles (uploader/reviewer), and feature prioritization. Deployed smart contracts: Used Hardhat and thirdweb CLI to deploy MoonToken (ERC-20) and MenstrualHut core contract on Avalanche Fuji Testnet, including functions for CID storage, token minting, menstrual data recording, and content access control. Handled frontend-backend integration: Integrated thirdweb SDK to connect Next.js frontend with smart contracts, enabling wallet connection, IPFS upload, on-chain record submission, MOON token rewards, and paid content access. · Project Achievements: Successfully deployed smart contracts on testnet and completed full frontend-blockchain integration, delivering a functional MVP with anonymous experience uploading, menstrual cycle tracking, and tokenized sharing. The project is open-sourced on GitHub and deployed live at https://menstrualhut.vercel.app/.
Languages
Mandarin
Native
English
Proficient (CET6)
Cantonese
Basic