Chenggang Wu

Co-Founder & CTO, RunLLM

Chenggang leads engineering for RunLLM, an AI Support Engineer for advanced technical support. He earned his Ph.D. in Computer Science at UC Berkeley, where his doctoral research on scalable cloud infrastructure earned the 2022 SIGMOD Jim Gray Doctoral Dissertation Award. Prior to Berkeley, he received his B.S. in Computer Science with honors from Brown University.

Chenggang Wu

Sessions / 2025 / 1 talk

  • The Future of AGI: Building Compound AI Systems | Explore a paradigm shift in AGI development through the lens of compound AI systems that integrate multiple LLMs with specialized tools. Learn how orchestrating diverse AI components can achieve human-level performance across broad task domains, demonstrated through RunLLM's AI support engineer implementation. Features practical approaches to building general-purpose AI workflows that combine speed, accuracy, and adaptability. Includes real-world case studies showing how compound AI systems are transforming customer support and service automation.

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