ChainCashier
Z.AI (Zhipu Qingyan)-Sponsored HackathonA GLM-5.1-powered cross-chain checkout agent that creates locked USDC invoices, validates routes, and tracks verifiable receipts.
Focused on RAG, agents, and AI application development, using Python and LangChain to turn retrieval, tool calling, and LLM capabilities into practical products.
Showcasing impactful projects and technical achievements.
A GLM-5.1-powered cross-chain checkout agent that creates locked USDC invoices, validates routes, and tracks verifiable receipts.
A Reactive Network cross-chain risk protection system that turns an origin-chain risk signal into an automated destination-chain action.
A RAG agent project built around document parsing, chunking, embeddings, Chroma retrieval, and LLM-based answers.
A BOT Chain Testnet commitment DApp combining on-chain wake-up check-ins with AI coaching grounded in real challenge history.
Professional experience and enterprise project practice.
Supported real estate appraisal projects through document verification, on-site inspections, and report preparation, building a disciplined approach to business data and cross-stage collaboration.
Contributed to the data-filtering feature of the TRS AI public opinion monitoring project, combining backend rule code with an AI workflow for initial screening and result processing.
Core capabilities across AI applications, RAG, agents, and engineering practice.
Built interactive RAG applications with Python, LangChain, and Qwen, covering document processing, embeddings, Chroma vector storage, and Top-K retrieval. Used LangChain create_agent to build a ReAct agent, exposed RAG retrieval as a callable tool, and applied middleware for tool-call monitoring, exception handling, and dynamic prompt switching.
Proficient in using AI coding agents such as Codex Agent for requirement decomposition, cross-stack implementation, integration, debugging, and deployment, with hands-on experience delivering full-stack projects through a Vibe Coding workflow. Participated in multiple AI hackathons and won first prize at the Reactive Network AI Hackathon with FlashBack. Also independently deployed a Hermes Agent trading bot connected to instant messaging for remote interaction, autonomous order execution, and monitoring.
Previously built a systematic foundation in enterprise Java development, including service development with Spring Boot and Spring Cloud, RESTful API design, and MySQL/Redis data processing. During an internship, contributed to an AI-powered public opinion monitoring project for TRS, a publicly listed company, working with backend rule logic and AI workflows for data filtering and result processing. My current focus is RAG and Agent application development; Java remains a backend foundation backed by formal study and project experience that I can quickly refresh and apply with AI coding tools.
Hands-on experience developing Solidity smart contracts and DApps, using Foundry / Hardhat for contract development and testing, and RainbowKit, Wagmi, and Viem for wallet integration, contract reads and writes, and transaction signing. Deployed and launched multiple DApps, with practical experience in cross-chain callbacks, on-chain event retrieval, and block explorer verification, while applying AI coding tools to implementation, cross-stack integration, and debugging.