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EXPLORE
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$10 USD / Hour
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Pakistan (9:01 AM)
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Joined on October 20, 2009
$10 USD / Hour
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Experience in software development and having worked for high profile organizations:eWorx International, Descon Engineering Ltd, Descon Information Systems(Pvt)Ltd,SoloSmart Inc, NASCOM Construction (pvt)ltd. in a highly competitive and challenging environment. Specialties Proficient in software development of Desktop and Web Based Applications with extensive use of VB.Net 3.5, C#.Net 4.0, Asp.Net 2.0, SQL Server (2005,2008), Microsoft Application Blocks (Data Access, Exception Handling, Caching, Logging), Crystal Reports and Reporting Services, WCF, Web Services, DevExpress Grid & Component One Controls.
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Experience
Sr. Software Engineer
Feb, 2011 - Present
•
15 years, 3 months
eWorx International
Feb, 2011 - Present
•
15 years, 3 months
Feb, 2011 - Present
•
15 years, 3 months
Software Engineer
Mar, 2007 - Feb, 2011
•
3 years, 11 months
DESCON Engineering Ltd
Mar, 2007 - Feb, 2011
•
3 years, 11 months
Mar, 2007 - Feb, 2011
•
3 years, 11 months
Sr. Software Engineer
Jun, 2006 - Mar, 2007
•
9 months
SOLO SMART INC
Jun, 2006 - Mar, 2007
•
9 months
Jun, 2006 - Mar, 2007
•
9 months
Education
University of Central Punjab
2008 - 2011
•
3 years
MS
2008 - 2011
•
3 years
Islamia University, Bahawalpur
2003 - 2005
•
2 years
MCS
2003 - 2005
•
2 years
Islamia University, Bahawalpur
2001 - 2003
•
2 years
BSC (CS)
2001 - 2003
•
2 years
Publications
THE ROAD FROM DISRESPECT TO RESPECT WITH USER DEFINED TYPES
IEEE, IACSITOctober 29, 2010
It is generally recognized that User Defined Types are used in construction of Database Tables, is inherently unstable, particularly for large databases. By implementation User Defined Types are sensitive to change in the database tables when the data exists in tables. Successful approaches to counteract this effect include lot of work to do that. The downside of these User Defined Types is the plethora of trees that result, often making it doubtful to use in Databases. We show that, by using Proposed Algor
EFFICIENT SEQUENTIAL FEATURE SELECTION
IEEE, IACSITOctober 29, 2010
The data collected for data mining might have many irrelevant as well as redundant features. There is a need to remove these irrelevant and redundant features, because these features does not add or affect the target concept [1]. But this data must be removed in many applications, so that learning can work. Removing these features improves the efficiency of the learning algorithm as well make the model simpler and more general [14]. Many algorithms have been introduced for feature selection .e.g. [4, 5, 6,
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