Zijing Gu is a software engineer based in Palo Alto with 8 years of experience building high-performance systems for ML and cloud-native applications. Currently at SambaNova, she focuses on LLM compiler work and performance optimization, drawing on a strong systems foundation from an M.S. in Computational Data Science at Carnegie Mellon. Her background spans production mobile and streaming systems (Go, Flutter, Apache Beam on GCP) as well as deep learning research—ranging from NMT and Transformer analysis to domain-adaptive models that improved cross-species prediction accuracy. Comfortable across ML research and production engineering, she combines rigorous applied math training with hands-on experience tuning models and compilers for real-world workloads. A detail that stands out: she has repeatedly translated research prototypes into scalable pipelines and mobile features, bridging the gap between experimental ML and user-facing products.
8 years of coding experience
3 years of employment as a software developer
University of California, San Diego
High School, 4.73 (weighted), High School, 4.73 (weighted) at Christian Unified Schools of San Diego
Master's degree, Computational Data Science - System, 3.83, Master's degree, Computational Data Science - System, 3.83 at Carnegie Mellon University
Contributions:11 commits, 10 pushes, 1 branch in 3 months
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Zijing Gu - Software Engineer at SambaNova Systems