Yidong Fang

Machine Learning Engineer at Bloomberg

Old Toronto, Ontario, Canada
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Summary

👤
Senior
🎓
Top School
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.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Wisconsin-Madison
bookUniversity of California, Los Angeles
bookBachelor of Engineering - BE, Bachelor of Engineering - BE at Southern University of Science and Technology
languagesEnglish, Chinese
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Github Skills (94)

python10
cpp10
pandas10
shiny10
prebuild10
lists10
remarkjs10
markdown9
dataframes9
blocked9
data-manipulation9
wysiwyg9
manipulation9
tasker9
rich-text-editor9

Programming languages (8)

TypeScriptJavaC++JavaScriptGoPHPHTMLPython

Github contributions (5)

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edydfang/UW-Madison-CS537

Sep 2019 - Dec 2019

Contributions:74 commits in 3 months
Contributions:28 commits, 4 pushes in 5 months
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Yidong Fang - Machine Learning Engineer at Bloomberg