
龙生 崔
@0006121
I build enterprise AI and RAG platforms with React, Node.js, and NestJS.
What I'm looking for
I've built enterprise AI and RAG products, most recently AI Workspace, a multi-tenant knowledge base and AI chat platform. I developed its React 19, TypeScript, and NestJS features, including workspaces, document review, AI chat, RBAC, document processing, hybrid search, SSE streaming, and source citations.
Across Sunyard Technology, Shanghai Xiangchuan, Ping An Bank, and Ping An Technology, I've led frontend architecture for AI SaaS, B2B data, finance, and NLP platforms. My work has included micro-frontends, visual workflow editors, performance improvements that reduced page load time from 1.5s to 0.5s, and D3.js data visualization.
Experience
Work history, roles, and key accomplishments
Representative projects: AI Workspace, SRM, Exam Registration Platform
AI Workspace — Enterprise RAG Knowledge Base & AI Chat Platform
Built a multi-tenant RAG platform for document management, knowledge search, and AI chat.
. Built the main frontend and backend features with React 19, TypeScript, and NestJS, including workspaces, knowledge bases, document review, and AI Chat.
. Designed a mul
AI-SaaS Platform
Enterprise AI platform with conversation flows, FAQ, DocSearch, and ChatGPT services.
. Led the main frontend architecture and development, including module design, complex business features, and performance optimization.
. Built a visual Schema editor with drag-and-drop nodes, connections, and condition branches for configurable AI chat flows.
. Split FAQ, DocSearch, ChatGP
Senior Frontend Developer
Oct 2020 - Jan 2023 (2 years 3 months)
Tenant Data Management Platform
B2B data platform for custom Schema configuration, data conversion, and employee information management.
. Built a micro-frontend architecture with React 18 and single-spa, allowing major modules to be developed, tested, and deployed separately.
. Set up frontend standards with ESLint, Prettier, Husky, and CI/CD.
. Improved performance for multi-page use cases
Auto Finance Assistant
Auto loan application covering risk control, contracts, payment, post-loan work, and repayment.
. Refactored the main loan process and reduced repeated development work by about 30%.
. Split major business areas into separate modules and supported on-demand loading.
. Reduced page load time from 1.5s to 0.5s and improved first-screen rendering by about 50%.
NLP & Entity Annotation Platform
NLP data platform for model prediction, manual annotation, entity management, and relationship visualization.
. Led frontend development for NLP and entity annotation systems used in medical and legal projects.
. Built rich-text annotation and D3.js relationship visualization for large data sets.
. Used lazy loading, caching, and WebSocket updates to improve
Education
Degrees, certifications, and relevant coursework
Zhengzhou University
Computer Application Technology, Associate Degree
2007 - 2009
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/cuilongsheng/Ai-WorkspaceSalary expectations
Social media
Skills
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