Software Developer Resume
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.