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Eric J White, Age 481412 Onyx Cir, Longmont, CO 80504

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Known as:
Eric James White Eric T White Eric W Hite Jaime White
Related to:
Floyd W Stamps 51

Eric White Phones & Addresses

1412 Onyx Cir, Longmont, CO 80504 (303) 709-4865

10263 Falcon St, Longmont, CO 80504

Frederick, CO

Erie, CO

Colorado Spgs, CO

Owings Mills, MD

Fort Collins, CO

Baltimore, MD

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Mentions for Eric J White

Eric White resumes & CV records

Resumes

Eric White Photo 9

Eric White - Baltimore, MD

Work:
Macy's - Baltimore, MD Nov 2014 to Jan 2015
Sales Associate/Cashier Morgan State University - Baltimore, MD May 2014 to Aug 2014
Desk Attendant The Chessler Company - Baltimore, MD Jun 2012 to Jul 2012
Team Member Randallstown Community Center - Randallstown, MD Jun 2010 to Jul 2010
Supervisor/Camp Counselor
Education:
Morgan State University - Baltimore, MD Aug 2013 to 2000
Electrical Engineering Baltimore Polytechnic Institute - Baltimore, MD Aug 2009 to Jun 2013
College Prep in Engineering Program
Skills:
Matlab programming, C++ programming, Basic computer skills- MS office (Word, excel, PowerPoint), Team Worker
Eric White Photo 10

Eric White - Nashville, TN

Work:
Pinnacle Technical Resources, Inc Apr 2014 to 2000
Data Network Analyst Information Innovators Inc - Springfield, VA Jun 2012 to Apr 2014
Contractor National Society Jun 2011 to Jun 2011
Hands on Atlanta (volunteer) ITT Systems Division - Colorado Springs, CO Apr 2009 to May 2010
Contractor IBM Blade Center FVT - Cary, NC Mar 2007 to May 2008
SP Test Engineer Phi Theta Kappa International Honor Society Oct 2005 to Oct 2005 US Army, Various Locations Sep 1983 to Jun 2004
Education:
DeVry University - Alpharetta, GA Jun 2012
B.S. in Network and Communications DeVry University - Morrisville, NC Jun 2007
B.S. in Technical Management
Eric White Photo 11

Eric White - Pittsburgh, PA

Work:
Dial America - Pittsburgh, PA Jan 2013 to May 2014
Customer Service Associate Aldo U.S. Inc - Wheaton, MD Oct 2010 to Mar 2012
Sales Associate The Dance Institute of Washington - Washington, DC May 2010 to Oct 2010
Managing Registrar Dollar Financial Group Inc - Pittsburgh, PA Apr 2009 to Sep 2009
Lead Financial Teller
Education:
CCAC - Pittsburgh, PA 2013 to 2016
AS in Liberal Arts & Science Academy of Hope - Washington, DC 2010 to 2011
General Studies
Eric White Photo 12

Eric White - Bel Air, MD

Work:
SILVERMAN BENEFITS GROUP 2010 to 2000
INDEPENDENT ASSOCIATE Representing AFLAC T. ROWE PRICE - Baltimore, MD 2007 to 2009
SR. BUSINESS SYSTEMS ANALYST DuPONT CAPITAL MANAGEMENT - Wilmington, DE 1998 to 2006
SYSTEMS LIAISON JP MORGAN INC - Newark, DE 1993 to 1998
ASSOCIATE SUN COMPANY, INC - Philadelphia, PA 1990 to 1992
SYSTEMS ANALYST PROVIDENT MUTUAL LIFE INSURANCE COMPANY - Philadelphia, PA 1986 to 1990
PROGRAMMER ANALYST
Education:
DREXEL UNIVERSITY - Philadelphia, PA 2002
Master of Business Administration in Finance UNIVERSITY OF PITTSBURGH - Pittsburgh, PA 1985
Bachelor of Science
Eric White Photo 13

Eric White - Alpharetta, GA

Work:
Information Innovators Inc Jun 2012 to 2000
Defense Contract Management Agency - Network Technician AFFLIATIONS Jun 2011 to Jun 2011
Hands on Atlanta (volunteer) ITT Systems Division - Colorado Springs, CO Apr 2009 to May 2010
DOD - Network Administrator IBM Blade Center FVT - Cary, NC Mar 2007 to May 2008
SP Test Engineer US Army, Various Locations Sep 1983 to Jun 2004
Operator - Supervisor NCOA Mar 2001 to Mar 2001
Student Advisory President
Education:
DeVry University - Alpharetta, GA Jun 2012
B.S. in Network and Communications DeVry University - Morrisville, NC Jun 2007
B.S. in Technical Management
Eric White Photo 14

Eric White - Nashville, TN

Work:
Pinnacle Technical Resources Apr 2014 to 2000
Data Network Analyst Information Innovators Inc - Springfield, VA Jun 2012 to Apr 2014
Defense Contract Management Agency - Network Technician ITT Systems Division - Colorado Springs, CO Apr 2009 to May 2010
DOD - Network Administrator IBM Blade Center FVT - Cary, NC Mar 2007 to May 2008
SP Test Engineer US Army, Various Locations Sep 1983 to Jun 2004
Operator - Supervisor NCOA Mar 2001 to Mar 2001
Student Advisory President
Education:
DeVry University - Alpharetta, GA Jun 2012
B.S. in Network and Communications DeVry University - Morrisville, NC Jun 2007
B.S. in Technical Management
Eric White Photo 15

Eric White - Astoria, NY

Work:
SUMO - Boston, MA Jun 2011 to Sep 2012
Co-Founder Massachusetts Advocates Standing Strong - Wellesley, MA Sep 2010 to Nov 2010
Consultant Grow-A-Pair Campaign - Boston, MA Sep 2010 to Nov 2010
Managing Director Vector Marketing - Rockville, MD Jun 2010 to Aug 2010
Assistant Manager Vector Marketing - Rockville, MD Jun 2007 to Jun 2009
Field Sales Manager Envy Attire - Wellesley, MA Sep 2007 to Mar 2008
Student Run Business (VP of Marketing)
Education:
Babson College - Babson Park, MA May 2011
Bachelor of Science in Business Management Babson College Varsity Men's Basketball Team 2009 to 2010
Eric White Photo 16

Eric White - Baltimore, MD

Work:
Agora Publishing Aug 1999 to 2000
House keeping ARAMARK - Baltimore, MD Jun 1998 to Jul 2003
House keeping/ maintenance
Education:
Baltimore City Community College 2007 to 2000
master's in social work, so I Mergenthaler Vocational 1994 to 1998
Vocational in design
Skills:
wood working. building furniture such as chairs and tables

Publications & IP owners

Us Patents

Cross-Document Intelligent Authoring And Processing, With Arbitration For Semantically-Annotated Documents

US Patent:
2022024, Aug 4, 2022
Filed:
Apr 20, 2022
Appl. No.:
17/724934
Inventors:
- Kirkland WA, US
Steven DeRose - Silver Spring MD, US
Taqi Jaffri - Kirkland WA, US
Luis Marti Orosa - Las Condes, CL
Michael B. Palmer - Edmonds WA, US
Jean Paoli - Kirkland WA, US
Christina Pavlopoulou - Emeryville CA, US
Elena Pricoiu - Issaquah WA, US
Swagatika Sarangi - Bellevue WA, US
Marcin Sawicki - Kirkland WA, US
Manar Shehadeh - Kirkland WA, US
Michael Taron - Seattle WA, US
Bhaven Toprani - Cupertino CA, US
Zubin Rustom Wadia - Chappaqua NY, US
David Watson - Seattle WA, US
Eric White - San Luis Obispo CA, US
Joshua Yongshin Fan - Bellevue WA, US
Kush Gupta - Seattle WA, US
Andrew Minh Hoang - Olympia WA, US
Zhanlin Liu - Seattle WA, US
Jerome George Paliakkara - Seattle WA, US
Zhaofeng Wu - Seattle WA, US
Yue Zhang - St Paul MN, US
Xiaoquan Zhou - Bellevue WA, US
International Classification:
G06F 40/186
G06N 20/00
G06F 40/30
G06F 40/169
G06F 40/117
G06F 40/106
G06F 40/289
G06F 40/295
G06F 16/93
G06F 16/2457
G06F 16/248
G06V 30/414
G06V 30/416
Abstract:
Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set). Similarity is not limited to exact or fuzzy string or property comparisons, but may include similarity of natural language grammatical structure, ML (machine learning) techniques such as measuring similarity of word, chunk, and other embeddings, and the datatypes and semantic roles of previously-identified chunks.

Assisting Authors Via Semantically-Annotated Documents

US Patent:
2021008, Mar 18, 2021
Filed:
Aug 5, 2020
Appl. No.:
16/986146
Inventors:
- Kirkland WA, US
Steven DeRose - Silver Spring MD, US
Taqi Jaffri - Kirkland WA, US
Luis Marti Orosa - Las Condes, CL
Michael Palmer - Edmonds WA, US
Jean Paoli - Kirkland WA, US
Christina Pavlopoulou - Emeryville CA, US
Elena Pricoiu - Issaquah WA, US
Swagatika Sarangi - Bellevue WA, US
Marcin Sawicki - Kirkland WA, US
Manar Shehadeh - Kirkland WA, US
Michael Taron - Seattle WA, US
Bhaven Toprani - Cupertino CA, US
Zubin Rustom Wadia - Chappaqua NY, US
David Watson - Seattle WA, US
Eric White - San Luis Obispo CA, US
Joshua Yongshin Fan - Bellevue WA, US
Kush Gupta - Seattle WA, US
Andrew Minh Hoang - Olympia WA, US
Zhanlin Liu - Seattle WA, US
Jerome George Paliakkara - Seattle WA, US
Zhaofeng Wu - Seattle WA, US
Yue Zhang - St Paul MN, US
Xiaoquan Zhou - Bellevue WA, US
International Classification:
G06F 16/2457
G06F 16/93
G06F 16/248
G06N 20/00
G06F 40/186
G06F 40/30
Abstract:
Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set). Similarity is not limited to exact or fuzzy string or property comparisons, but may include similarity of natural language grammatical structure, ML (machine learning) techniques such as measuring similarity of word, chunk, and other embeddings, and the datatypes and semantic roles of previously-identified chunks.

Cross-Document Intelligent Authoring And Processing, Including Format For Semantically-Annotated Documents

US Patent:
2021008, Mar 18, 2021
Filed:
Aug 5, 2020
Appl. No.:
16/986136
Inventors:
- Kirkland WA, US
Steven DeRose - Silver Spring MD, US
Taqi Jaffri - Kirkland WA, US
Luis Marti Orosa - Las Condes, CL
Michael Palmer - Edmonds WA, US
Jean Paoli - Kirkland WA, US
Christina Pavlopoulou - Emeryville CA, US
Elena Pricoiu - Issaquah WA, US
Swagatika Sarangi - Bellevue WA, US
Marcin Sawicki - Kirkland WA, US
Manar Shehadeh - Kirkland WA, US
Michael Taron - Seattle WA, US
Bhaven Toprani - Cupertino CA, US
Zubin Rustom Wadia - Chappaqua NY, US
David Watson - Seattle WA, US
Eric White - San Luis Obispo CA, US
Joshua Yongshin Fan - Bellevue WA, US
Kush Gupta - Seattle WA, US
Andrew Minh Hoang - Olympia WA, US
Zhanlin Liu - Seattle WA, US
Jerome George Paliakkara - Seattle WA, US
Zhaofeng Wu - Seattle WA, US
Yue Zhang - St Paul MN, US
Xiaoquan Zhou - Bellevue WA, US
International Classification:
G06F 40/169
G06F 40/106
G06F 40/117
Abstract:
Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set). Similarity is not limited to exact or fuzzy string or property comparisons, but may include similarity of natural language grammatical structure, ML (machine learning) techniques such as measuring similarity of word, chunk, and other embeddings, and the datatypes and semantic roles of previously-identified chunks.

Automatically Identifying Chunks In Sets Of Documents

US Patent:
2021008, Mar 18, 2021
Filed:
Aug 5, 2020
Appl. No.:
16/986139
Inventors:
- Kirkland WA, US
Steven DeRose - Silver Spring MD, US
Taqi Jaffri - Kirkland WA, US
Luis Marti Orosa - Las Condes, CL
Michael Palmer - Edmonds WA, US
Jean Paoli - Kirkland WA, US
Christina Pavlopoulou - Emeryville CA, US
Elena Pricoiu - Issaquah WA, US
Swagatika Sarangi - Bellevue WA, US
Marcin Sawicki - Kirkland WA, US
Manar Shehadeh - Kirkland WA, US
Michael Taron - Seattle WA, US
Bhaven Toprani - Cupertino CA, US
Zubin Rustom Wadia - Chappaqua NY, US
David Watson - Seattle WA, US
Eric White - San Luis Obispo CA, US
Joshua Yongshin Fan - Bellevue WA, US
Kush Gupta - Seattle WA, US
Andrew Minh Hoang - Olympia WA, US
Zhanlin Liu - Seattle WA, US
Jerome George Paliakkara - Seattle WA, US
Zhaofeng Wu - Seattle WA, US
Yue Zhang - St Paul MN, US
Xiaoquan Zhou - Bellevue WA, US
International Classification:
G06F 40/169
G06F 40/106
G06F 40/30
G06F 40/295
Abstract:
Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set). Similarity is not limited to exact or fuzzy string or property comparisons, but may include similarity of natural language grammatical structure, ML (machine learning) techniques such as measuring similarity of word, chunk, and other embeddings, and the datatypes and semantic roles of previously-identified chunks.

Enabling Flexible Processing Of Semantically-Annotated Documents

US Patent:
2021008, Mar 18, 2021
Filed:
Aug 5, 2020
Appl. No.:
16/986151
Inventors:
- Kirkland WA, US
Steven DeRose - Silver Spring MD, US
Taqi Jaffri - Kirkland WA, US
Luis Marti Orosa - Las Condes, CL
Michael Palmer - Edmonds WA, US
Jean Paoli - Kirkland WA, US
Christina Pavlopoulou - Emeryville CA, US
Elena Pricoiu - Issaquah WA, US
Swagatika Sarangi - Bellevue WA, US
Marcin Sawicki - Kirkland WA, US
Manar Shehadeh - Kirkland WA, US
Michael Taron - Seattle WA, US
Bhaven Toprani - Cupertino CA, US
Zubin Rustom Wadia - Chappaqua NY, US
David Watson - Seattle WA, US
Eric White - San Luis Obispo CA, US
Joshua Yongshin Fan - Bellevue WA, US
Kush Gupta - Seattle WA, US
Andrew Minh Hoang - Olympia WA, US
Zhanlin Liu - Seattle WA, US
Jerome George Paliakkara - Seattle WA, US
Zhaofeng Wu - Seattle WA, US
Yue Zhang - St Paul MN, US
Xiaoquan Zhou - Bellevue WA, US
International Classification:
G06F 40/186
G06K 9/00
G06F 40/30
G06F 40/169
G06N 20/00
Abstract:
Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set). Similarity is not limited to exact or fuzzy string or property comparisons, but may include similarity of natural language grammatical structure, ML (machine learning) techniques such as measuring similarity of word, chunk, and other embeddings, and the datatypes and semantic roles of previously-identified chunks.

Automatically Assigning Semantic Role Labels To Parts Of Documents

US Patent:
2021008, Mar 18, 2021
Filed:
Aug 5, 2020
Appl. No.:
16/986142
Inventors:
- Kirkland WA, US
Steven DeRose - Silver Spring MD, US
Taqi Jaffri - Kirkland WA, US
Luis Marti Orosa - Las Condes, CL
Michael Palmer - Edmonds WA, US
Jean Paoli - Kirkland WA, US
Christina Pavlopoulou - Emeryville CA, US
Elena Pricoiu - Issaquah WA, US
Swagatika Sarangi - Bellevue WA, US
Marcin Sawicki - Kirkland WA, US
Manar Shehadeh - Kirkland WA, US
Michael Taron - Seattle WA, US
Bhaven Toprani - Cupertino CA, US
Zubin Rustom Wadia - Chappaqua NY, US
David Watson - Seattle WA, US
Eric White - San Luis Obispo CA, US
Joshua Yongshin Fan - Bellevue WA, US
Kush Gupta - Seattle WA, US
Andrew Minh Hoang - Olympia WA, US
Zhanlin Liu - Seattle WA, US
Jerome George Paliakkara - Seattle WA, US
Zhaofeng Wu - Seattle WA, US
Yue Zhang - St Paul MN, US
Xiaoquan Zhou - Bellevue WA, US
International Classification:
G06F 40/289
G06F 40/30
Abstract:
Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set). Similarity is not limited to exact or fuzzy string or property comparisons, but may include similarity of natural language grammatical structure, ML (machine learning) techniques such as measuring similarity of word, chunk, and other embeddings, and the datatypes and semantic roles of previously-identified chunks.

Possible Relatives

A L White  Cyril N White  Cyrus S White  Davis M White  Dawna L White  Dawson W White  Dayle L White  Eric Z Stander  Eric L Standifer  Eric I Johnston 

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