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Software Developer Resume

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Pune, IndiA

Objective
To obtain a full-time position in software development company to enhance programming skills and contribute towards companygrowth.

Education
MS in Computer Science
Bachelors in Computer Engineering
Diploma in Computer Technology

Related Coursework

  • Data Mining
  • Information Retrieval Systems
  • Internet Computing
  • Data Warehousing and Cloud Computing
  • Enterprise Web/DB Development
  • Software Programming For Handheld Devices
  • Component Software Development
  • Software Engineering and Development

Technical Skills

  • Programming/Scripting Languages: C, C++, Java, C#, ASP.NET, PHP
  • Database: Oracle, MySQL, SQL Server, MongoDB
  • Libraries / Tools: Qt, Windows SDK, MFC, MPICH, Boost, Zend, Android SDK, Blackberry SDK, OpenGL, SDL, Allegro, Talend, Rapidminer, Pentaho Kettle, Weka
  • Testing Tools: LoadRunner, WinRunner, SilkTest

Professional Experience

Confidential, (Pune, India) – Jr. Software Developer (June 2004 – Dec 2009)

  • Software Development:
  • Worked in design, development and maintenance of .NET based consumer data collection application for state owned electric company.
  • Worked in design and development of XML Editor in Visual C++ for a leading CAD/CAM based design firm.
  • Developed a simulator using OpenGL and C++ for Hybrid Cellular Grid Channel Allocation for GSM networks.
  • Software Testing:
  • Was a part of testing team for the project based on Online Shopping Cart System.
  • Was a part of testing team of Sales and Accounting system for a Shopping Mall.

Academic Projects

  • Credit Risk Assessment

Aim: To predict the financial situation of a borrower based on his current credit score.

  • PDF Scanner

An Android application to convert the text images captured into PDF files using OCR web service.

  • WeBlog

Aim: To provide a platform to the users to publish their blogs. To provide readers to read and comment on the blogs published.

  • Deep Packet Inspection using Parallel Bloom Filters

Aim: To achieve real time packet scanning using parallel Bloom filters deployed on Beowulf cluster. Packet scanning technique was used to detect IP packets for possible worm contamination.

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