Silin Zhao

• Built multiple end-to-end AI applications with customized tools and systematic prompt engineering, deployed on Kubernetes, managing the full lifecycle from development to production.
• Integrated MCP to connect LLMs with external tools and APIs.
• Built RAG pipelines with distributed Qdrant for hybrid search and context-aware retrieval.
• Managed short- and long-term memory for user personalization, incorporating Human-in-the-Loop feedback mechanisms.

Built LynxNLI, an assistant agent that simplifies Linux operations in HPC environments through natural language. Served as core developer, owning the project from framework design to tool implementation.

Built a content management system with integrated authentication, featuring a multi-layer security model for authentication and role-based permission control. Developed backend features for email-based notifications, keyword search, attribute filtering, timed tasks, and REST API endpoints with custom access rules. Owned testing and deployment, covering unit tests, integration tests, and production rollout.

Built a full-stack platform for digitizing chemical and biological experiments, funded by the NBank Gründungsstipendium in Niedersachsen. Automated experiment workflows including calculations, report generation, and supply tracking. Managed the full project lifecycle as sole developer, from initial implementation through production deployment.

• Deployed AI-based visual inspection systems for custom industrial automation applications.
• Collaborated with university research groups to develop solutions for client-specific requirements.