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$6 USD / Hour
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India (7:20 PM)
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Joined on September 8, 2013
$6 USD / Hour
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Aapnam is a one of the leading software service provider among the offshore software development company in India. Having 5+ years of experience in custom Application Development Custom Software Development, for client around the world, we have adopted the process for seamless working in software outsourcing concept. We have highly talented and motivated software engineers. We at Aapnam believes in Commitment, Quality, and Perfection in our work. Coding is our passion and talent too. We are best in what we do. We work in PHP, Java, Android Applications, iPhone Applications, Windows Moblie Applications, Blackberry Applications, and we have expertise in these. We have developers having experience more than 5 years, highly educated from Indian Institute of Technology (IITs are top technical institutions in India), worked in industry giants (like Oracle, CIsco, IBM IRL etc), as well as startup companies. For more information please go to our website [login to view URL] We are always available and ready to talk business and we look forward for same. [login to view URL]
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India's Most Haunted

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Experience
Technical Manager
Jan, 2013 - Present
•
13 years, 6 months
Aapnam Solutinos
Jan, 2013 - Present
•
13 years, 6 months
Jan, 2013 - Present
•
13 years, 6 months
Senior Research and Development Engg
Oct, 2011 - Dec, 2012
•
1 year, 2 months
IPsoft India Pvt. Ltd.
Oct, 2011 - Dec, 2012
•
1 year, 2 months
Oct, 2011 - Dec, 2012
•
1 year, 2 months
Technical Architect
Jan, 2009 - Sep, 2011
•
2 years, 8 months
Transbit Technologies
Jan, 2009 - Sep, 2011
•
2 years, 8 months
Jan, 2009 - Sep, 2011
•
2 years, 8 months
Education
Indian Institute of Technology, Roorkee
2004 - 2006
•
2 years
M.Tech.

India
2004 - 2006
•
2 years
Publications
Design and Implementation of Cover Tree Algorithm on CUDA-Compatible GPU
International Journal of Computer Applications
Recently developed architecture such as Compute Unified Device Architecture (CUDA) allows us to exploit the computational power of Graphics Processing Units (GPU). In this paper we propose an algorithm for implementation of Cover tree, accelerated on the graphics processing unit (GPU). The existing algorithm for Cover Tree implementation is for single core CPU and is not suitable for applications with large data set such as phylogenetic analysis in bioinformatics, in order to find nearest neighbours in real