•Built and shipped applied-AI product prototypes using LLMs + coding agents, owning the full loop (product → UX → engineering → iteration)
•Designed agentic development environments with guardrails: tool calling, prompt/versioning, structured outputs, eval harnesses, and reliability checks (so “vibe coding” still ships safely).
•Implemented end-to-end foundations for AI products: RAG/knowledge workflows, model routing, observability/telemetry, cost controls, and deployment—then iterated based on user feedback and real usage.
•Note: Work under NDA; public-facing work and demos at olicheng.com.