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EXPLORE
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$20 USD / Hour
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United States (10:07 PM)
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Joined on November 9, 2010
$20 USD / Hour
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Full Time Application Developer experience of 9+years. Lead Programmer for the last 7 years. Successful individual and group contribution in various IT projects in United States for State Government, D.O.T, Oil and Gas Industry, D.O.E, private sector, Education/University, manufacturing, textile and numerous research & development projects Fast-paced Internship, Graduate Research and Teaching Assistant, Web-Site Maintenance and Technical Support Solid foundation in Software Engineering, Relational Database,SharePoint, .NET,C#,VB,Java, J2EE, Object Oriented Programming, Debugging, Testing, Deploying, Installing, Configuration, Design, Documentation, Troubleshooting and internet based technologies. Highly skilled in analyzing information, converting data from spreadsheet to fully functional database system and integrating 3rd party applications. Dependable, fast learner, team player, jovial, customer-oriented, organized with good communication skills
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Education
University of North Texas
2005 - 2007
•
2 years
MS in Computer Science
United States
2005 - 2007
•
2 years
West Bengal University of Technology
2001 - 2005
•
4 years
BS in Computer Science and Engineering
India
2001 - 2005
•
4 years
Publications
Model Predictive Analysis for AutonomicWorkflow Management in Large-scale Scientific Computing Environments
Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07)
In large scale scientific computing, proper planning and management of computational resources lead to higher system utilizations and increased scientific productivity. Scientists are increasingly leveraging the use of business process management techniques and workflow management tools to balance the needs of the scientific analyses with the availability of computational resources. However, the advancements in productivity from execution of workflows in a large scale computing environments are often thwart
Model Predictive Analysis for AutonomicWorkflow Management in Large-scale Scientific Computing Environments
Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07)
In large scale scientific computing, proper planning and management of computational resources lead to higher system utilizations and increased scientific productivity. Scientists are increasingly leveraging the use of business process management techniques and workflow management tools to balance the needs of the scientific analyses with the availability of computational resources. However, the advancements in productivity from execution of workflows in a large scale computing environments are often thwart
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