Majid S.
Senior Full Stack Developer | AI Agents & RAG | Node.js & React Expert
๐ Top Rated Plus (Top 3%) | 100% Job Success | 3,500+ Hours | Full-Time Availability Most SaaS and healthtech teams know they need AI features, an agent that automates a workflow, a RAG system that lets users query their own data conversationally, but don't have anyone who can build that into an existing Node/React product without a rewrite. That's my niche, layered on top of 10+ years as a full stack engineer who can own your product end-to-end, from database and API design through polished React/Angular frontends. On a health and clinical research monitoring platform, I owned the backend architecture and later shipped AI agents and a RAG pipeline into the live product. I've also automated loan-processing workflows on a mortgage automation platform and delivered full stack MEAN/MERN projects for earlier clients. So whether you need a single engineer who can own your whole stack from scratch, or you already have a product and want an AI agent/RAG feature built into it properly, I can do either, and I design the AI layer to fit your existing architecture, data model, and auth, so it ships as a real feature, not a demo. ๐๐ฎ๐ฐ๐ธ๐ฒ๐ป๐ฑ: Node.js, Express, NestJS PostgreSQL, MySQL, MongoDB, CockroachDB Prisma, TypeORM, Sequelize Redis, Firebase/Supabase WebSockets/SocketIO ๐๐ฟ๐ผ๐ป๐๐ฒ๐ป๐ฑ: React.js, Next.js, Angular Redux/Redux Toolkit Ant Design, shadcn/ui, NextUI/HeroUI ๐๐ & ๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐ฆ๐๐๐๐ฒ๐บ๐: AI agents & agentic workflows (LangChain, LangGraph) RAG โ vector stores, retrieval pipelines OpenAI & Claude integration, prompt engineering, LLM observability AI-augmented development via Cursor and Claude Code ๐๐ฒ๐๐ข๐ฝ๐ & ๐ง๐ผ๐ผ๐น๐ถ๐ป๐ด: AWS (EC2, SNS, S3), Docker, Nginx, DigitalOcean, Heroku Git (GitHub, Bitbucket, GitLab, Azure) Jira, Azure DevOps, Asana, Notion Send me a bit about your product and I'll tell you honestly whether an agent/RAG feature is the right next move, or whether you just need a solid hand building the whole thing. Happy to do that on a 15-minute call.