Summary
Tian Tan is a Senior Software Engineer specialized in machine learning and large language models, currently building production-grade LLM systems at Google with expertise in RAG, SFT fine-tuning, multi-shot in-context learning, and performance optimizations. With eight years in software engineering and a deeper decade-plus of systems experience across Google, Apple, Marvell, National Instruments, and GE Healthcare, he combines low-level firmware/kernel craftsmanship with high-level ML engineering. His background in signal processing and physics underpins a pragmatic approach to reliable, reusable software across domains from device firmware and storage stacks to cross-device computer vision. Known for a terse, code-first philosophy ("Read the source"), he favors clear, auditable implementations that scale from embedded drivers to LLM inference pipelines. Based in the San Francisco Bay Area, Tian brings a rare blend of systems-level rigor and applied ML research to production problems.
8 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at University of Science and Technology of China
Master's degree, Signal Processing, Master's degree, Signal Processing at Chinese Academy of Sciences