Summary
Yidong Fang is a Machine Learning Engineer with 11 years of software engineering experience, currently building production ML systems at Bloomberg. He combines strong software fundamentals in Python, C++, and JavaScript with hands-on system design to move models from research into scalable, low-latency financial services deployments. His background spans research roles at Tencent and UCLA to enterprise engineering at Dell EMC and multiple Bloomberg teams, reflecting an ability to bridge academic rigor and industry-grade reliability. A University of Wisconsin–Madison MS graduate with a BE from Southern University of Science and Technology, he brings both breadth and depth across algorithms, engineering, and architecture. Notably, his career shows rapid progression within Bloomberg from software engineering to ML engineering, signaling aptitude for operationalizing complex models under production constraints.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Wisconsin-Madison
University of California, Los Angeles
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Southern University of Science and Technology
English, Chinese