Summary
Yangrui Fan is a Senior Software Engineer with eight years of experience building scalable web applications and machine learning pipelines, currently at Smith & Associates. A UC Berkeley EECS graduate with a Master’s in Computer Science from UIUC, he blends full-stack Rails experience (SaaS, OAuth, Elasticsearch, Ajax) with hands-on ML and data engineering—having implemented deep learning models across TensorFlow/Chainer/Caffe and built OpenCV-enabled web crawlers for real-time data collection. He practices Agile, BDD/TDD, CI and thoughtful design principles to prioritize usability and maintainability. Notably, he led end-to-end projects from prototype to production data labeling and model evaluation, enabling pragmatic tool choices based on accuracy and performance tradeoffs. Based in West Virginia, Yangrui brings a research-informed approach to solving complex engineering problems with efficient, sustainable solutions.
8 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering & Computer Science, Bachelor’s Degree, Electrical Engineering & Computer Science at University of California, Berkeley
Mt. San Antonio College
High School, High School at SHANGHAI QIBAO HIGH SCHOOL
High School, High School at Southlands Christian Schools
University of Illinois Urbana-Champaign
English, Chinese