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Nivas S.

@insanesaver

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Software engineer at Amazon.com

$8 USD / Hour

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India (8:32 AM)

Joined on September 25, 2011

$8 USD / Hour

I am sort of a jack-of-many-trades who has worked on projects involving Retail, Customer Relationship Management, Data analysis, Social media and Communities. The technologies and products I'm familiar with are Java/J2EE, Perl, C/C++, SQL, most of the front-end web technologies like HTML/CSS/Javascript and some of their frameworks, [login to view URL] CRM, Lithium community platform etc.

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Experience

ASE

Aug, 2012 - Present

13 years, 11 months

Amazon.com

Aug, 2012 - Present

13 years, 11 months

Working on the Kindle team that manages the store experience

Aug, 2012 - Present

13 years, 11 months

Software Engineer

Aug, 2011 - Aug, 2012

1 year

Lister Technologies

Aug, 2011 - Aug, 2012

1 year

Doing Salesforce.com customizations - Developing custom applications on force.com using Apex and Visualforce Building Social communities on the Lithium Community platform

Aug, 2011 - Aug, 2012

1 year

Intern

Jan, 2011 - Jul, 2011

6 months

Tata Consultancy Services

Jan, 2011 - Jul, 2011

6 months

Developed an end-to-end web application, using Java/J2EE technologies. The work in it is to write various interactive reports that analyzes data and presents it in a rich graphical format to draw useful conclusions out of it.

Jan, 2011 - Jul, 2011

6 months

Education

Shanmugha Arts, Science, Technology and Research Academy

2007 - 2011

4 years

B.Tech

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India

2007 - 2011

4 years

Qualifications

Diploma in J2EE Programming

2009

CSC Computer Education

The course covered web development using HTML, CSS and JavaScript in the front end and Java/J2EE technologies in the back end.

2009

Publications

Coverage analysis of Borwein-Borwein quadratic convergence ? algorithm for FPU diagnostics

International Conference on Number Theory and Modular Forms

Number of processors have come up in line since the days of the first simple processors, with each newer one being faster and better than its predecessor, chip manufacturers scrutinize the fidelity of processors by running a multitude of tests at the foundry and tested during each boot-up of the system in the form of Power-On-Self-Test (POST). This paper focuses on diagnosing Floating-Point Unit (FPU) faults by calculating value of ? to a large number of digits using the Borwein-Borwein iterative quadratic

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