Summary
Yichi Yang is a PhD-level graduate student researcher at UC San Diego with nine years of software and research experience bridging NLP, systems engineering, and ML model deployment. He proposed a novel information alignment framework unifying tasks like NLI and QA and used it to build a factual-consistency metric that outperforms much larger LLM-based metrics across 22 datasets. His background includes building production cloud-native services at Amazon, performance optimization tools for Transformer models at ByteDance, and hands-on MLOps integration, showing both deep research rigor and pragmatic engineering. Based in Los Angeles, he blends academic excellence with product-focused impact—evident in measurable savings and throughput gains—and often works at the intersection of model evaluation, deployment, and tooling.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Southern California
Master's degree, Computer Science, Master's degree, Computer Science at UC San Diego Jacobs School of Engineering
High School Diploma, High School Diploma at Hangzhou Foreign Languages School
Chinese, English