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Xian Zheng Zhang, 566001 Hana Rd, Edison, NJ 08817

Xian Zhang Phones & Addresses

6001 Hana Rd, Edison, NJ 08817    732-3399203   

Seattle, WA   

Tacoma, WA   

North Bergen, NJ   

Cliffside Park, NJ   

Wesley Chapel, FL   

Work

Company: United nations - New York, NY Jun 2011 Position: Financial assistant intern

Education

School / High School: Illinois Institute of Technology- Chicago, IL 2010 Specialities: Mater of Science in Finance

Skills

Proficient in VBA programming language • Matlab • EViews software tools and MS Office especially in Excel. Language: English and Chinese

Ranks

Licence: New York - Currently registered Date: 2009

Mentions for Xian Zheng Zhang

Career records & work history

Lawyers & Attorneys

Xian Zhang Photo 1

Xian Zhang - Lawyer

Licenses:
New York - Currently registered 2009
Education:
New York University School of Law
Xian Zhang Photo 2

Xian Zhang - Lawyer

ISLN:
922734106
Admitted:
2005

Xian Zhang resumes & CV records

Resumes

Xian Zhang Photo 40

Xian Annie Zhang

Xian Zhang Photo 41

Xian Zhang

Xian Zhang Photo 42

Xian Ting Zhang

Xian Zhang Photo 43

Senior Manager Valuation

Location:
Greater New York City Area
Industry:
Financial Services
Xian Zhang Photo 44

Xian Zhang

Location:
United States
Xian Zhang Photo 45

Xian Zhang

Location:
United States
Xian Zhang Photo 46

Research Assistant At Columbia University

Location:
Greater New York City Area
Industry:
Higher Education
Xian Zhang Photo 47

Xian Zhang - Chicago, IL

Work:
UNITED NATIONS - New York, NY Jun 2011 to Aug 2011
Financial Assistant Intern
THE EXPORT-IMPORT BANK OF CHINA Jun 2010 to Aug 2010
Trade Finance Officer Intern
HUATAI SECURITIES CO., LTD Sep 2009 to Mar 2010
Financial Assistant
Education:
Illinois Institute of Technology - Chicago, IL 2010 to 2012
Mater of Science in Finance
Nanjing Forestry University - Nanjing, Jingsu 2006 to 2010
Bachelor of Science in Economics
Skills:
Proficient in VBA programming language, Matlab, EViews software tools and MS Office especially in Excel. Language: English and Chinese

Publications & IP owners

Us Patents

Stream Processing In Search Data Pipelines

US Patent:
2020029, Sep 17, 2020
Filed:
Mar 12, 2020
Appl. No.:
16/816882
Inventors:
- Redmond WA, US
Michael Kinoti - Seattle WA, US
Shengquan Yan - Issaquah WA, US
Peng Yu - Bellevue WA, US
Xian Zhang - Bellevue WA, US
Guixi Zou - Bellevue WA, US
Yin He - Kirkland WA, US
Xavier Drudis Rius - Bellevue WA, US
Miriam Rosenberg - Kirkland WA, US
Zijian Zheng - Bellevue WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06F 16/2455
Abstract:
Architecture that decomposes of one or more monolithic data concepts into atomic concepts and related atomic concept dependencies, and provides streaming data processing that processes individual or separate (atomic) data concepts and defined atomic dependencies. The architecture can comprise data-driven data processing that enables the plug-in of new data concepts with minimal effort. Efficient processing of the data concepts is enabled by streaming only required data concepts and corresponding dependencies and enablement of the seamless configuration of data processing between stream processing systems and batch processing systems as a result of data concept decomposition. Incremental and non-incremental metric processing enables realtime access and monitoring of operational parameters and queries.

Stream Processing In Search Data Pipelines

US Patent:
2016022, Aug 4, 2016
Filed:
Feb 2, 2015
Appl. No.:
14/612126
Inventors:
- Redmond WA, US
Michael Kinoti - Seattle WA, US
Shengquan Yan - Issaquah WA, US
Peng Yu - Bellevue WA, US
Xian Zhang - Bellevue WA, US
Guixi Zou - Bellevue WA, US
Yin He - Kirkland WA, US
Xavier Drudis Rius - Bellevue WA, US
Miriam Rosenberg - Kirkland WA, US
Zijian Zheng - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 17/30
Abstract:
Architecture that decomposes of one or more monolithic data concepts into atomic concepts and related atomic concept dependencies, and provides streaming data processing that processes individual or separate (atomic) data concepts and defined atomic dependencies. The architecture can comprise data-driven data processing that enables the plug-in of new data concepts with minimal effort. Efficient processing of the data concepts is enabled by streaming only required data concepts and corresponding dependencies and enablement of the seamless configuration of data processing between stream processing systems and batch processing systems as a result of data concept decomposition. Incremental and non-incremental metric processing enables realtime access and monitoring of operational parameters and queries.

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