Backend / Cloud Engineer with 8+ years experience across distributed systems, IoT platforms, and cloud infrastructure.
- Design and scale distributed backend systems
- Build high-concurrency data pipelines
- Optimize cloud cost and system performance
- Integrate AI capabilities into production systems
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IoT Cloud Platform
- Scaled system 10x while keeping cost growth under control
- Reduced AWS cost by 50% via data architecture redesign
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AI / RAG Systems
- Built RAG-based knowledge system (vector + keyword hybrid search)
- Designed real-time inference pipelines for backend integration
- Backend: Node.js, TypeScript, NestJS
- Cloud: AWS, GCP, Kubernetes, Docker
- Data: PostgreSQL, Redis, Kafka
- AI: Python, FastAPI, RAG, Vector DB
- 🔗 Structural Pressure Model
- A socio-economic risk analysis model exploring housing burden, elite competition, labor stress, and AI shock scenarios across the US and Taiwan
- 🔗 RAG Knowledge Base
- 🔗 Claude Code Tool
- 🔗 AHoy App
- LinkedIn: https://www.linkedin.com/in/yunchen-li-53980ab7/
- Medium: https://medium.com/@lib11