I spent 3+ years building production backend systems — multi-tenant healthcare platforms, automated reporting pipelines, and operations tooling on Node.js, PostgreSQL, and AWS. Today at SiliconPrime I apply that foundation to AI agents for education: RAG pipelines, agent orchestration, and realtime streaming at scale.
- 🔭 Currently building an AI agent platform for education (RAG + LLM orchestration + realtime streaming)
- 🌱 Deepening AI engineering: vector search, agent tool-calling, prompt/context optimization
- 💬 Ask me about PostgreSQL performance, event-driven backends, or shipping LLM features to production
- 📫 Reach me at nguyenvannhathuy.dev@gmail.com
Languages
Backend
AI Engineering
Database & Messaging
DevOps
Frontend
| Project | What it does | Stack |
|---|---|---|
| EduAgent Platform | AI tutoring agents for education — RAG over course materials, 5k+ learner sessions/day | NestJS · pgvector · LLM APIs |
| Electronic Medical Record | Multi-tenant clinic & hospital SaaS serving 12 clinics, 50k+ patient records | NestJS · PostgreSQL · RabbitMQ |
| MarketLens | Automated market reporting — turned a 2h manual process into <5min | Node.js · Redis · AWS ECS |
| CaseFlow | Support ticket & SLA platform — lifted SLA compliance from 72% to 95% | Express · PostgreSQL · WebSocket |
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