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Varun M Singh, 432706 Hardy Ave, Silver Spring, MD 20902

Related to:
Minerva R Cortes 62 Guljar Singh Barn 69

Varun Singh Phones & Addresses

2706 Hardy Ave, Silver Spring, MD 20902    301-9338470   

Wheaton, MD   

4000 Massachusetts Ave, Washington, DC 20016    202-2160524   

4000 Massachusetts Ave NW APT 1314, Washington, DC 20016    202-2160524   

450 Massachusetts Ave, Washington, DC 20001    202-2160524   

Rockville, MD   

Rego Park, NY   

445 Waupelani Dr, State College, PA 16801    814-2371636    814-8677053   

10 Vairo Blvd, State College, PA 16803    814-8677053   

Jamaica, NY   

Houston, TX   

445 Waupelani Dr, State College, PA 16801    814-4415312   

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Resumes

Varun Singh Photo 45

Varun Singh - Iselin, NJ

Work:
Merit-Tel Worldwide Communications LLC Nov 2014 to 2000
Telecommunications Engineering Specialist D3 Unified Communications LLC - Newark, NJ Mar 2014 to Oct 2014
Network Engineer New Jersey Institute of Technology - Newark, NJ May 2013 to May 2014
Graduate Assistant to the Dean of Students AGP Engineering Products - New Delhi, Delhi Jul 2011 to Jul 2012
Technical Head Siemens Ltd - New Delhi, Delhi May 2010 to Aug 2010
Intern (Telecommunications) Siemens Ltd - New Delhi, Delhi May 2009 to Aug 2009
Intern (Telecommunications)
Education:
New Jersey Institute of Technology - Newark, NJ Aug 2012 to May 2014
Masters of Science in Electrical Engineering Institute of Technology and Management Aug 2007 to May 2011
Bachelor of Technology in Electronics and Instrumentation Engineering
Varun Singh Photo 46

Varun Singh - Albany, NY

Work:
O desk - Hyderabad, Andhra Pradesh May 2009 to Jan 2013
Freelancer
Education:
University at Albany, State University of Albany - New York, NY 2013 to 2015
M.S. in Computer Science Osmania University - Hyderabad, Andhra Pradesh 2009 to 2013
BS in Information Technology
Skills:
C/C++, Java, SQL, HTML, CSS, Python, Net Beans, Eclips, Oracle 10g(XE), Visual Studios, Android
Varun Singh Photo 47

Varun Singh - US

Publications & IP owners

Us Patents

Search Result Filters From Resource Content

US Patent:
2022032, Oct 13, 2022
Filed:
Jun 27, 2022
Appl. No.:
17/850655
Inventors:
- Mountain View CA, US
Kaylin Spitz - Brooklyn NY, US
Selena Sunling Yang - New York NY, US
Varun Jasjit Singh - Brooklyn NY, US
Emma S. Persky - New York NY, US
Yonatan Erez - Yehud, IL
International Classification:
G06F 16/9535
G06F 16/332
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing filters from resource content. In one aspect, a system receives data identifying a set of resources that are determined to be responsive to a search query and extracts a set of keywords from the contents of the resources and related queries. The keywords are processed according to candidate selection criteria, and a set of candidate query filters are determined. The candidate filters may be used to filter the resources that are responsive to the query.

Joint Intent And Entity Recognition Using Transformer Models

US Patent:
2023002, Jan 19, 2023
Filed:
Sep 26, 2022
Appl. No.:
17/952912
Inventors:
- McLean VA, US
Erik T. Mueller - Chevy Chase MD, US
Zachary Kulis - Washington DC, US
Varun Singh - Silver Spring MD, US
International Classification:
G06F 40/295
G06K 9/62
G06F 40/284
G06N 3/08
Abstract:
Systems described herein may use transformer-based machine classifiers to perform a variety of natural language understanding tasks including, but not limited to sentence classification, named entity recognition, sentence similarity, and question answering. The exceptional performance of transformer-based language models is due to their ability to capture long-term temporal dependencies in input sequences. Machine classifiers may be trained using training data sets for multiple tasks, such as but not limited to sentence classification tasks and sequence labeling tasks. Loss masking may be employed in the machine classifier to jointly train the machine classifier on multiple tasks simultaneously. The user of transformer encoders in the machine classifiers, which treat each output sequence independently of other output sequences, in accordance with aspects of the invention do not require joint labeling to model tasks.

Joint Intent And Entity Recognition Using Transformer Models

US Patent:
2021036, Nov 25, 2021
Filed:
May 22, 2020
Appl. No.:
16/881282
Inventors:
- McLean VA, US
Erik T. Mueller - Chevy Chase MD, US
Zachary Kulis - Washington DC, US
Varun Singh - Silver Spring MD, US
International Classification:
G06F 40/295
G06F 40/284
G06N 3/08
G06K 9/62
Abstract:
Systems described herein may use transformer-based machine classifiers to perform a variety of natural language understanding tasks including, but not limited to sentence classification, named entity recognition, sentence similarity, and question answering. The exceptional performance of transformer-based language models is due to their ability to capture long-term temporal dependencies in input sequences. Machine classifiers may be trained using training data sets for multiple tasks, such as but not limited to sentence classification tasks and sequence labeling tasks. Loss masking may be employed in the machine classifier to jointly train the machine classifier on multiple tasks simultaneously. The user of transformer encoders in the machine classifiers, which treat each output sequence independently of other output sequences, in accordance with aspects of the invention do not require joint labeling to model tasks.

Multi-Turn Dialogue Response Generation With Persona Modeling

US Patent:
2021002, Jan 28, 2021
Filed:
Jul 22, 2020
Appl. No.:
16/935784
Inventors:
- McLean VA, US
Erik T. Mueller - Chevy Chase MD, US
Rui Zhang - McLean VA, US
Zachary Kulis - Washington DC, US
Varun Singh - Silver Spring MD, US
International Classification:
G10L 15/16
G10L 15/06
G10L 15/22
Abstract:
Machine classifiers in accordance with embodiments of the invention capture long-term temporal dependencies in particular tasks, such as turn-based dialogues. Machine classifiers may be used to help users to perform tasks indicated by the user. When a user utterance is received, natural language processing techniques may be used to understand the user's intent. Templates may be determined based on the user's intent in the generation of responses to solicit information from the user. A variety of persona attributes may be determined for a user. The persona attributes may be determined based on the user's utterances and/or provided as metadata included with the user's utterances. A response persona may be used to generate responses to the user's utterances such that the generated responses match a tone appropriate to the task. A response persona may be used to generate templates to solicit additional information and/or generate responses appropriate to the task.

Search Result Filters From Resource Content

US Patent:
2019016, May 30, 2019
Filed:
Feb 1, 2019
Appl. No.:
16/265714
Inventors:
- Mountain View CA, US
Kaylin Spitz - Brooklyn NY, US
Selena Sunling Yang - New York NY, US
Varun Jasjit Singh - Brooklyn NY, US
Emma S. Persky - New York NY, US
Yonatan Erez - Yehud, IL
International Classification:
G06F 16/9535
G06F 16/332
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing filters from resource content. In one aspect, a system receives data identifying a set of resources that are determined to be responsive to a search query and extracts a set of keywords from the contents of the resources and related queries. The keywords are processed according to candidate selection criteria, and a set of candidate query filters are determined. The candidate filters may be used to filter the resources that are responsive to the query.

Search Result Filters From Resource Content

US Patent:
2017001, Jan 19, 2017
Filed:
Jun 15, 2016
Appl. No.:
15/183455
Inventors:
- Mountain View CA, US
Kaylin Spitz - Brooklyn NY, US
Selena Sunling Yang - New York NY, US
Varun Jasjit Singh - Brooklyn NY, US
Emma S. Persky - New York NY, US
Yonatan Erez - Yehud, IL
International Classification:
G06F 17/30
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing filters from resource content. In one aspect, a system receives data identifying a set of resources that are determined to be responsive to a search query and extracts a set of keywords from the contents of the resources and related queries. The keywords are processed according to candidate selection criteria, and a set of candidate query filters are determined. The candidate filters may be used to filter the resources that are responsive to the query.

Systems And Methods For Displaying Impact Analysis Data While Designing An Architectural Structure

US Patent:
2015023, Aug 20, 2015
Filed:
Jul 10, 2014
Appl. No.:
14/327908
Inventors:
- New York NY, US
David Wightman Swartz - Brooklyn NY, US
Ritwik Raj - New York NY, US
Jacob Miles - New York NY, US
Carl Styan Sterner - New York NY, US
Jeremy Gayed - Washington Township NJ, US
Varun Singh - New York NY, US
Mads Naestholt Jensen - London, GB
Alex Jones Tollefsen - Brooklyn NY, US
Katrina Leigh Schoen - Astoria NY, US
International Classification:
G06F 17/50
H04L 29/08
Abstract:
Various embodiments provide systems and methods enabling a user to receive feedback regarding a computer-implemented design of an architectural structure as the user is designing or otherwise modifying the computer-implemented design using a computer-aided design (CAD) software tool. The feedback (hereafter also referred to as “design feedback”) may provide the user with useful analysis information regarding the architectural structure's predicted characteristics (e.g., operational performance, resource consumption, cost, etc.) based on the current state of the computer-implemented design. In particular, heating and cooling loads associated with the computer-implemented design of the architectural structure can be visually displayed to the user in real or near-real-time along with the relationships to contributing factors that impact the heating and cooling loads.

Real-Time Spatial Daylighting Analysis For A 3D Geometric Structure

US Patent:
2015023, Aug 20, 2015
Filed:
Jul 10, 2014
Appl. No.:
14/328553
Inventors:
- New York NY, US
David Wightman Swartz - Brooklyn NY, US
Ritwik Raj - New York NY, US
Jacob Miles - New York NY, US
Carl Styan Sterner - New York NY, US
Jeremy Gayed - Washington Township NJ, US
Varun Singh - New York NY, US
Mads Jensen - New York NY, US
Alex Tollefsen - New York NY, US
Katrina Schoen - New York NY, US
International Classification:
G06F 17/50
G06T 17/10
Abstract:
Various embodiments provide systems and methods enabling a user to receive feedback regarding a computer-implemented design of an architectural structure as the user is designing or otherwise modifying the computer-implemented design using a computer-aided design (CAD) software tool. The feedback (hereafter also referred to as “design feedback”) may provide the user with useful analysis information regarding the architectural structure's predicted characteristics (e.g., operational performance, resource consumption, cost, etc.) based on the current state of the computer-implemented design. In particular, daylighting analyses pertinent to the computer-implemented design of the architectural structure can be visually displayed to the user in real or near-real-time.

Possible Relatives

David J Singh  Davinder Singh  Davinderpal Singh  Dawinder Singh  Dale D Singh  Daler Singh  Dalip D Singh  Varun Patel  Varun Kohli  Varun Sehgal 

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