Summary
Peter Wu is a Principal Software Engineer with over two decades of experience architecting large-scale, fault-tolerant systems and modernizing legacy landscapes for enterprises. He has led efforts to federate and stitch GraphQL schemas across hundreds of databases to enable vectorized, LLM-friendly access to corporate data and to accelerate AI-driven conversational UX at scale. His background spans event-sourced and sharded architectures, graph databases, multimodal ML pipelines, and real-time data exchange projects that have processed enterprise-scale financial and payroll flows. Notably, he built a “digital nervous system” and pioneered distributed multi-dimensional stores and prompt-driven sub-graph extraction to turn data into on-demand, functionally composable microapps. Peter combines deep hands-on engineering (Java, Node.js, Neo4J, Pinecone, PyTorch, Azure OpenAI) with pragmatic system design for observability and automation, helping organizations shift from static workflows to adaptive, conversation-first applications. Based in Littleton, Colorado, he pairs an MBA with a long history of cross-industry impact from finance and media to aerospace.
9 years of coding experience
24 years of employment as a software developer
MBA Business, MBA Business at University of Phoenix
Cal Poly Pomona
English, Chinese