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Xiaobing Li
Machine Learning Engineer |Ex-Meta |Ex-Amex
Education Overview
• georgia institute of technology
• university of wisconsin madison
• institute of biophysics chinese academy of sciences
• peking university
• huanggang high school
Companies Overview
• career break
• meta
• amex
• american express bdiplus
• american expressm2resources
• suny optometry
• university of wisconsinmadison
Experience Overview
12.8 Years
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Experience
Skills
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Amazon Web Services (AWS)
Apache Spark
Big Data
Data Modeling
Deep Learning
Machine Learning (ML)
optimization
Pytorch
Recommendation system
Reinforcement Learning
Research Scientist
Trading
Vision
Contact Details
Email (Verified)
bysXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
georgia institute of technology
Master's degree
2015 - 2017
university of wisconsin madison
PhD
2001 - 2008
institute of biophysics chinese academy of sciences
MS
1995 - 1998
peking university
BS
1990 - 1995
huanggang high school
1987 - 1990
Frequently asked questions
What company does Xiaobing Li work for?
Xiaobing Li works for career break
What is Xiaobing Li role in his workplace?
Xiaobing Li's role in his workplace is Personal goal pursuit
What is Xiaobing Li's tenure in his workplace?
Xiaobing Li's tenure in his workplace is 2.00 years
What is Xiaobing Li's total experience?
Xiaobing Li's total experience is 12.83 years
What is Xiaobing Li's LinkedIn profile?
What is Xiaobing Li's email address?
What is Xiaobing Li's phone/WhatsApp number?
What schools did Xiaobing Li attend?
Xiaobing Li has attended georgia institute of technology, university of wisconsin madison, institute of biophysics chinese academy of sciences, peking university, huanggang high school
What companies has Xiaobing Li worked with?
Xiaobing Li has worked with career break, meta, amex, american express bdiplus, american expressm2resources, suny optometry, university of wisconsinmadison
What are some of Xiaobing Li's skills?
Xiaobing Li has skills in Amazon Web Services (AWS), Apache Spark, Big Data, Data Modeling, Deep Learning, Machine Learning (ML) and more.
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