Yue Qi's Email & Phone Number

💼 Past Experience

Yue Qi has worked extensively in the areas of Processing, Machine Learning, Large Scale Data Analysis and Natural Language Processing. In his most recent position, he is a Software Engineer at Facebook. This is Yue Qi’s second position at Facebook after he worked at Google for 6 years from February 2012 to September 2018. In his previous position, at YouTube, Yue Qi worked on the development of search ads delivery systems and algorithms, as well as the development of data stores and pipelines for search engine optimization. In his current position at Facebook, Yue Qi is a Tech Lead / Senior Software Engineer.At Google, Yue Qi led the development of next-gen Machine Learning Inference Platform. This platform is used to improve the accuracy of machine learning models and to reduce the time needed to train the models. This platform is also used to develop search ad delivery systems, as well as the development of the knowledge graph and video monetization algorithms. At Facebook, Yue Qi was a Software Engineer. Yue Qi’s most recent position at Facebook is at the Development Stage of a Project Led by a Senior Software Engineer for a Machine Learning Initiative. At Microsoft, Yue Qi was a Software Development Engineer. Yue Qi is also a Visiting Student at Microsoft from July 2006 to February 2007. In this position, Yue Qi worked on named entity extraction, query commercial intent classification, and web mining. At University of Pennsylvania, Yue Qi was working as a Research Assistant in 2007-2009. Yue Qi is now a Visiting Student at University of Pennsylvania.This concludes Yue Qi’s work experiences.

🎓 Education

Yue Qi has a undergraduate degree in physics from the University of Pennsylvania. After that, she studied at Beihang University for two years and then The Experimental High School Attached to Beijing Normal University for one year. Yue Qi has completed a total of 21 years of education.

💡 Technical & Interpersonal Skills

Yue Qi has a B.S. in Electrical Engineering from the University of Pennsylvania (2007) and a M.S. in Computer Science from Johns Hopkins University (2010). Yueqi started her professional career as a Draftsman at Google in February 2012. She led the development of the next-generation Machine Learning Inference Platform for Facebook. Yueqi then worked at Google Cloud Search, as a Software Engineer, from February 2012 to January 2014. She then worked at YouTube, as a Software Development Engineer from February 2012 to January 2014. Yueqi then worked at Microsoft, as a Software Development Engineer from March 2009 to February 2012. She then worked at Johns Hopkins University, as a computer scientist. Yueqi had a visiting student at Microsoft from July 2006 to February 2007 and also worked on a research project at the University of Pennsylvania. Yueqi is currently a Engineering at Facebook in San Francisco Bay Area.Yue Qi has a B.S. in Electrical Engineering from the University of Pennsylvania (2007) and a M.S. in Computer Science from Johns Hopkins University (2010). Yueqi started her professional career as a Draftsman at Google in February 2012. She led the development of the next-generation Machine Learning Inference Platform for Facebook. Yueqi then worked at Google Cloud Search, as a Software Engineer, from February 2012 to January 2014. Yueqi then worked at YouTube, as a Software Development Engineer from February 2012 to January 2014. Yueqi then worked at Microsoft, as a Software Development Engineer from March 2009 to February 2012. Yueqi had a visiting student at Microsoft from July 2006 to February 2007 and also worked on a research project at the University of Pennsylvania. Yueqi is currently a Engineering at Facebook in San Francisco Bay Area.Through her work experience, Yue Qi has gained a deep understanding of Machine Learning. Yue Qi has also developed Machine Learning infrastructures and algorithms for various tasks such as searching ads delivery systems, ad ranking, and querying a language model. Yue Qi has also appeared in papers discussing these topics. Yue Qi is also familiar with data stores and pipelines for Machine Learning, and has created (or conducted) a variety of A/B testing frameworks.