Summary
Zixuan Geng is a software engineer with nine years of experience blending database systems, machine learning, and algorithm design, currently building data infrastructure at Snowflake in Seattle. He combines strong academic rigor—BS and MS in Computer Science from the University of Washington and ACM‑ICPC regional contest experience—with hands‑on research that produced VLDB/SIGMOD work on fast, practical counterfactual explanations. Zixuan has repeatedly optimized explanation and inference pipelines (e.g., speeding SHAP/RESP and counterfactual models by multiple orders) by exploiting database semantics, systems-level tuning, and algorithmic improvements. Comfortable teaching and mentoring, he redesigned course material and led cloud-based hands‑on labs for UW database classes. His profile reflects a rare mix of production engineering at scale and research-driven innovations at the interface of databases and ML.
9 years of coding experience
2 years of employment as a software developer
北京大学 暑期学校
Bachelor's degree, Computer Science, 3.95/4.00, Bachelor's degree, Computer Science, 3.95/4.00 at 美国华盛顿大学