I’m an AI Software Engineer specializing in building production-ready LLM systems, focusing on bridging AI research and real-world applications.

My work centers on designing and developing end-to-end AI systems, including AI agents, GraphRAG pipelines, and evaluation infrastructure to ensure reliability, scalability, and consistent system behavior.

I enjoy building systems that connect theory and practice — turning AI models into reliable, production-ready solutions.

My goal is to design intelligent systems that are not only powerful, but also stable, scalable, and usable in real-world environments.

🧠 AI Systems & LLM Engineering

• Building LLM-based systems (RAG, GraphRAG, AI agents)
• Prompt orchestration, context engineering, and memory systems
• Designing evaluation pipelines (LLM-as-a-judge, regression testing)

⚙️ System & Backend Engineering

• API and webhook architecture for AI systems
• Performance optimization (10× improvements in latency & evaluation)
• Scalable system design and production deployment

🌍 Real-World Systems & GNSS

• Background in GNSS and positioning systems
• Interested in integrating AI with edge and real-world environments

• LinkedIn: https://www.linkedin.com/in/pohengshen/