Summary
Yanxiang Zhang is a Senior Staff Software Engineer in Sunnyvale with 12 years of experience building and deploying language models at scale, currently leading Gemini Nano–based tools at Google. He specializes in LLM fine-tuning (LoRA, RL), privacy-preserving federated learning with differential privacy, and on-device model deployment to improve real-world decoding and feature quality. Yanxiang has progressed through multiple engineering and staff roles at Google, pairing research-grade algorithmic work with production systems engineering. His background—anchored by a Software Engineering MS from Beihang University and early ML internships at Baidu and Tencent—reflects a consistent focus on bringing compact, privacy-conscious LMs to edge environments. Notably, he blends model optimization techniques with applied systems know-how to make small-scale LMs performant in constrained, user-facing settings.
12 years of coding experience
11 years of employment as a software developer
Master's degree Software Engineering and Management, Master's degree Software Engineering and Management at Beihang University