Zhen Li
Frontend Engineer
Shenyang, CN.About
Highly motivated Frontend Engineer with a strong foundation in React, TypeScript, and Next.js, demonstrated through impactful Web3 and AI-powered DApp development. Proven ability to rapidly learn new technologies and deliver production-ready applications, leveraging AI tools to accelerate development cycles and achieve significant efficiency gains in hackathon settings. Eager to apply robust technical skills and collaborative experience to contribute to innovative projects within an industry-leading BAP program.
Work
Decentralized AI Finance Assistant DApp
|Full-Stack DApp Developer
Virtual, Global, WW
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Summary
Led the full-stack development of a Decentralized AI Finance Assistant DApp, integrating advanced frontend and smart contract functionalities within a hackathon timeframe.
Highlights
Developed a full-stack DApp frontend using Next.js, TypeScript, and React, integrating RainbowKit for secure wallet connection and transaction signing.
Engineered and independently deployed a Solidity ERC-721 smart contract to the Sepolia testnet, implementing a token incentive mechanism.
Accelerated project completion within hackathon timelines by leveraging AI tools (Claude Code, Codex, Gemini), demonstrating high development efficiency.
LLM-Powered Medical Data Processing Tool
|Frontend & AI Integration Developer
Virtual, Global, WW
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Summary
Designed and implemented an LLM-powered medical data processing tool, significantly enhancing data handling efficiency and user interaction within a rapid development cycle.
Highlights
Built a data collection frontend using React and TypeScript, incorporating advanced visualization and interactive features for enhanced user experience.
Integrated the MiniMax LLM API with a Node.js backend, reducing data processing time by 93%, from 15 minutes to under 1 minute.
Completed prototype development within 3 days using an AI-assisted workflow, leading to project recognition in a hackathon.
UC Berkeley DeFi Course
|DApp Learning Teaching Assistant
Virtual, Global, WW
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Summary
Supported community education by translating complex DeFi course content and contributing to a React-based learning platform.
Highlights
Translated UC Berkeley DeFi course videos, making advanced decentralized finance concepts accessible to a broader audience.
Assisted in the development of a React-based learning platform, enhancing educational resources for community engagement.
Education
China Medical University / Queen's University of Belfast
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Bachelor
Biotechnology
Grade: 3.7/4.0
Languages
English
Chinese
Skills
Frontend Development
React, TypeScript, Next.js, HTML5, CSS3, RainbowKit.
Backend Development
Node.js, RESTful API, Git, GitHub.
Web3 & AI Technologies
Solidity, LLM API Integration, IPFS, Smart Contract Development.
Development Tools
GitHub Copilot, ChatGPT, Claude (AI tools).
Professional Competencies
Fast Learner, Self-motivation, Problem-solving, Team Collaboration, Work Ethic, Proactive Attitude, Communication Skills, Technical Documentation, Research Papers.