Summary
Simon Dai is an AI software engineer with 11 years of experience building production machine learning, distributed systems, and cloud-native services across companies like Uber, Microsoft, Amazon, and Lenovo. He combines deep ML expertise (LightGBM, XGBoost, ranking systems) with full-stack engineering in Python, Java, and C#, delivering scalable pipelines, A/B-tested ranking models, and self-service tooling. His work spans search ranking and personalization, large-scale model deployments on AWS/Michelangelo/Palette, and applied research-driven solutions such as global stop-health models and indoor navigation algorithms. A fast learner and pragmatic problem solver, he has a PhD-level academic background and a hands-on habit of shipping features end-to-end—from algorithm design to production orchestration. Based in Cary, NC, he’s equally interested in crypto and quantitative developer roles and enjoys experimenting with generative-AI agents (LangChain) for enterprise codebases.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at University of Science and Technology of China
Master’s Degree, Master’s Degree at University of Colorado Boulder
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Boston University
English, Chinese, Japanese