Summary
Jiadong Yin is a Staff Machine Learning Engineer based in California with 10 years of experience applying ML and large-scale numerical optimization to real-world systems, from search ranking at LinkedIn to ads personalization at Coupang. He holds a PhD in Computational Mechanics from Duke and brings rare depth in numerical PDEs and scientific computing alongside production ML expertise in TensorFlow, XGBoost, and LLM fine-tuning (PEFT on Falcon-7B). At LinkedIn he improved typeahead and SRP ranking via deep embeddings, exploration/exploitation cold-start engines, and data-driven ETL pipelines that moved models from experiments into serving. Earlier work spans anomaly detection and recommendation systems at ServiceNow and engineering-grade simulation software used in clinical collaborations with Mayo Clinic, signaling a strong blend of research rigor and product impact. Comfortable across Java, C++, Python and big-data platforms, he pairs algorithmic creativity with hands-on systems delivery and cross-functional leadership on large-scale projects.
10 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD Computational Mechanics and Scientific Computing, Doctor of Philosophy - PhD Computational Mechanics and Scientific Computing at Duke University
Bachelor’s Degree Mechanical Engineering and Automation, Bachelor’s Degree Mechanical Engineering and Automation at Xi'an Jiaotong University
High School, High School at Xi'an Gaoxin No.1 High School
English, Chinese