Shrirang V Yawalkar

age ~56

from Flower Mound, TX

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Also known as:

Shrirang Vinayak Yawalkar
Shirang Yawalkar
Shrang Yawalkar
Awalker Y Shirang
Shrirang Flower R
Awalker Y Shrirang

Phone and address:: 4817 Kingswood Dr, Lewisville, TX 75022
817 497-0288

Connected to:

Shrirang Yawalkar Phones & Addresses

4817 Kingswood Dr, Flower Mound, TX 75022 • 817 497-0288
4917 Kingswood Dr, Flower Mound, TX 75028 • 817 497-0288 • 817 497-2088 • 817 497-2098
Flowermound, TX
Fort Worth, TX
543 Forest Hill Dr, Coppell, TX 75019 • 972 316-0272 • 214 488-0757 • 972 488-0757
Wilsonville, OR
Richardson, TX
Denton, TX

Work

Company:

New york life insurance company
Apr 2016 to Sep 2016
Position:

Corporate vice president - enterprise technology

Education

Degree:

Masters
Specialities:

Engineering

Skills

Sdlc • Integration • Software Development • Business Analysis • Software Project Management • Telecommunications • Testing • Requirements Analysis • Program Management • Enterprise Software • Agile Methodologies • Process Improvement • Unix • Project Management • Oracle • Pre Sales

Industries

Information Technology And Services

Resumes

Vice President, Digital And Tech, Global It Platforms - Cloud Engineering, Devops, Tcoe

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Location:

Dallas, TX

Industry:

Information Technology And Services

Work:

New York Life Insurance Company Apr 2016 - Sep 2016
Corporate Vice President - Enterprise Technology
Cbre Apr 2016 - Sep 2016
Vice President, Digital and Tech, Global It Platforms - Cloud Engineering, Devops, Tcoe
Verizon Jun 2007 - Dec 2015
Director - Information Technology
Founder & President Sourcedrive Jan 1991 - May 2007
Principal Consultant

Education:

Birla Institute of Technology and Science, Pilani 1989 - 1990
Masters, Computer Science Nagpur University May 1989
Bachelor of Engineering, Bachelors Chatrapati Sahuji Maharaj Kanpur University, Kanpur 1985 - 1989
Bachelors, Computer Engineering

Skills:

Sdlc
Integration
Software Development
Business Analysis
Software Project Management
Telecommunications
Testing
Requirements Analysis
Program Management
Enterprise Software
Agile Methodologies
Process Improvement
Unix
Project Management
Oracle
Pre Sales

Us Patents

Methods And Systems Of Determining A Quality Level Of A Software Instance
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US Patent:

20100251027, Sep 30, 2010
Filed:

Mar 30, 2009
Appl. No.:

12/413775
Inventors:

Shrirang V. Yawalkar - Flower Mound TX, US
Balaji Kumar - Irving TX, US
Assignee:

Verizon Patent and Licensing Inc. - Basking Ridge NJ
International Classification:

G06F 11/00
US Classification:

714 38
Abstract:

An exemplary method includes displaying a graphical user interface configured to facilitate identification of one or more defects in a software instance, receiving data representative of at least one instruction via the graphical user interface to associate one of a plurality of defect severity levels each having one of a plurality of weighted values with each of the one or more defects, and generating a product quality index corresponding to the software instance and that indicates a quality level of the software instance compared to a substantially defect-free software instance. In some examples, the generation of the product quality index is based on the defect severity levels and the weighted values associated with the one or more defects.

Methods And Systems Of Determining Risk Levels Of One Or More Software Instance Defects
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US Patent:

20100251215, Sep 30, 2010
Filed:

Mar 30, 2009
Appl. No.:

12/413745
Inventors:

Shrirang V. Yawalkar - Flower Mound TX, US
Balaji Kumar - Irving TX, US
Assignee:

VERIZON PATENT AND LICENSING INC. - Basking Ridge NJ
International Classification:

G06F 9/44
US Classification:

717125
Abstract:

An exemplary method includes displaying a graphical user interface configured to facilitate identification of one or more defects within a software instance, receiving data representative of at least one instruction via the graphical user interface to assign a severity risk value, an impact risk value, and a likelihood risk value to each of the one or more defects, and generating a defect risk factor corresponding to each of the one or more defects that indicates a risk level of each of the one or more defects, the generating based on a combination of the severity risk value, the impact risk value, and the likelihood risk value corresponding to each of the one or more defects.