Yang Liu is a Staff Software Engineer based in Shenzhen with eight years of experience building privacy-preserving, production-grade AI systems. He specializes in GenAI, LLMs and LLM agents, and has deep expertise in federated learning, differential privacy and homomorphic encryption to harden safety, security and privacy in large-scale deployments. At ByteDance he leads efforts to make LLMs and agent ecosystems inherently safer across internal and external products, after building cloud-native and on-prem infrastructures for similar problems as a senior engineer. His background includes PhD-level research in distributed computing and machine learning from ANU and an undergraduate degree from Tsinghua, combining rigorous theory with hands-on engineering. Colleagues know him for translating advanced cryptographic and statistical methods into scalable, operational systems that protect user data without sacrificing model capability.
8 years of coding experience
5 years of employment as a software developer
Australian National University
Bachelor's degree Electronic Engineering, Bachelor's degree Electronic Engineering at Tsinghua University
Contributions:34 commits, 77 pushes, 1 branch in 2 years 9 months
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