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Prasanna K Jayapal

from Woodinville, WA
Age ~48
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Also known as:
Prasanna Kumar Jayapal, Jayapal K Prasanna, Prasanna L
Connected to:
Vijaya Jayapal, 47John Jayapaul, 80Arjun Jayaprakash, 34Balaji Jayaprakash, 49Ganesh Jayaprakash, 40Lakshmi Jayaprakash, 42Seelam Jayaprakash, 53Vidya Jayaprakash, 46Lavanya Jayaraj, 40Magesh K Jayaraj, 48

Prasanna Jayapal Phones & Addresses

  • Woodinville, WA
  • 4250 Lake Sammamish Pkwy, Redmond, WA 98052 (425) 498-2081
  • 4250 W Lake Sammamish Pkwy NE #B1005, Redmond, WA 98052 (425) 498-2081
  • 4250 W Lake Sammamish Pkwy NE #B-100, Redmond, WA 98052
  • Bothell, WA
  • 14510 35Th St, Bellevue, WA 98007 (425) 498-2081
  • Snohomish, WA
  • 22706 44Th Dr SE, Bothell, WA 98021

Work

Company: Microsoft corporation Jan 2008 Position: Dev lead / architect

Education

Degree: B.E School / High School: University Visveswaraya College of Engineering Specialities: Computer Science

Skills

Distributed Systems • .Net • Software Design • Cloud Computing • Software Development • Windows Azure • Enterprise Software • Web Services • C# • Agile Methodologies • Windows Server • Databases • Software Engineering • Sql • Sql Azure • Systems Management • Architecture • C/C++ • Microsoft Azure • Software Project Management • Object Oriented Design • Software As A Service • Mobile Device Management • Configuration Management • People Management • Test Driven Development • Agile Project Management • Visual Studio • Enterprise Architecture • Scrum Master • Open Source Software • Infrastructure Management • Rest • Amazon Web Services • Operations Management • Java • Orchestration • Enterprise Content Management • Leadership • Communication • Architectural Design • Service Oriented Architecture • Database Design • Hiring • Software Development Life Cycle • Project Management • Technical Leadership • Saas Development

Industries

Computer Software

Resumes

Resumes

Prasanna Jayapal Photo 1

Senior Director Of Engineering

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Location:
San Francisco, CA
Industry:
Computer Software
Work:
Microsoft Corporation since Jan 2008
Dev Lead / Architect
Microsoft Corporation since Jun 2004
Senior Software Design Engineer
Microsoft Corporation Jan 2001 - Jun 2004
Software Design Engineer
Aditi Corporation Oct 1998 - Jan 2001
Software Engineer
Education:
University Visveswaraya College of Engineering
B.E, Computer ScienceUVCE, Bangalore University University of Washington
M.S, Computer Science
Skills:
Distributed Systems
.Net
Software Design
Cloud Computing
Software Development
Windows Azure
Enterprise Software
Web Services
C#
Agile Methodologies
Windows Server
Databases
Software Engineering
Sql
Sql Azure
Systems Management
Architecture
C/C++
Microsoft Azure
Software Project Management
Object Oriented Design
Software As A Service
Mobile Device Management
Configuration Management
People Management
Test Driven Development
Agile Project Management
Visual Studio
Enterprise Architecture
Scrum Master
Open Source Software
Infrastructure Management
Rest
Amazon Web Services
Operations Management
Java
Orchestration
Enterprise Content Management
Leadership
Communication
Architectural Design
Service Oriented Architecture
Database Design
Hiring
Software Development Life Cycle
Project Management
Technical Leadership
Saas Development

Publications

Us Patents

Model Based Distributed Application Management

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US Patent:
20090313266, Dec 17, 2009
Filed:
Jun 11, 2008
Appl. No.:
12/137511
Inventors:
Shafqat Ullah Khan - Lynnwood WA, US
Nedialko K. Paskov - Bellevue WA, US
David J. Armour - Bellevue WA, US
Michael J. Healy - Duvall WA, US
Prasanna Kumar Jayapal - Bothell WA, US
Brett D. A. Flegg - Redmond WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 17/30
US Classification:
707100, 707E17001
Abstract:
Aspects of the subject matter described herein relate to model based application management. In aspects, models are defined that include structural and behavioral characteristics, rules, relations, and so forth between entities of an application. An instruction regarding a management function is received. The models are used to generate actions that when executed manage the application in accordance with the instruction.

Inferring Effects Of Configuration On Performance

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US Patent:
20120303325, Nov 29, 2012
Filed:
May 23, 2011
Appl. No.:
13/113108
Inventors:
Adam C. DePue - Kirkland WA, US
Mark Gilbert - Seattle WA, US
Prasanna Kumar Jayapal - Bothell WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 11/30
US Classification:
702186
Abstract:
Configuration data and performance data can be collected from computing machines running a target program. Periods of stress for the computing machines can be identified using the performance data, and a set of the computing machines can be grouped under a stress profile using the performance data. One or more configuration points can be identified on the set of machines, and an effect of each of the configuration point(s) on performance of the set of machines can be inferred using the configuration data and the performance data. The inferred effect(s) of the configuration point(s) can be used to determine a baseline set of configuration settings.

Feedback-Based Symptom And Condition Correlation

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US Patent:
20120303793, Nov 29, 2012
Filed:
May 26, 2011
Appl. No.:
13/115996
Inventors:
Paul A. Mestemaker - Bellevue WA, US
Adam C. DePue - Kirkland WA, US
Prasanna Kumar Jayapal - Bothell WA, US
Lorenzo Rizzi - Kirkland WA, US
Mark Gilbert - Seattle WA, US
Ashvin J. Sanghvi - Sammamish WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 15/173
US Classification:
709224
Abstract:
Feedback data can be received from client agents running on client computer systems. The feedback data can include data on the symptoms and conditions for rules that relate computer system symptoms to computer system conditions. The feedback data can be analyzed to produce correlation information that quantifies a degree of correlation between the symptom(s) and condition(s) related by the rule(s). It may be determined whether analysis of the feedback data warrants including one of the rules in correlation mappings to be applied to monitored computer systems. If so, then that rule can be included in the mappings. Information representing the correlation mappings may be transmitted to the monitored computer system(s). Additionally, information representing the correlation mappings may be transmitted to the monitored computer system(s), and types of feedback data collected from the client agents can be altered on the basis of the correlation information.
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Prasanna K Jayapal from Woodinville, WA, age ~48 Get Report