Praneeth Y.

PRANEETH YALAVARTHI Email: Address: Phone: 9948318609 Flat No: 402, Mahagoli Mahadev apartments, Road No:1, Kakathiya Nagar, Ashok Nagar, BHEL, Hyderabad. Experience (Mar 2010 - Present) Teradata India Pvt Ltd Software Engineer in Sustaining Team Teradata Certified Professional working on Teradata DBMS Software responsible for resolving customer issues in the Access Module Processor division of the software. (Apr 2009 - Mar 2010) Prithvi Information Solutions Ltd Software Engineer in MAC OSX Application Development Team Got trained in Cocoa and Objective-C and worked on resolving issues in RADAR project. (Jun 2007 - Apr 2009) Bhrigus Software Pvt Ltd Research Engineer in Speech and Language Team Worked on Automatic Speech Recognition project and also worked on silence detection and noise removal algorithms to enhance the input speech that is provided to Speech Recognition Software. Education (2003-2007) International Institute of Information Technology, Hyderabad [login to view URL] in Electronics and Communications Engineering CGPA: 7.44/10 Relevant Coursework: C, C++, Data structures, Computer Organization, Computer Networks, Digital Image Processing, Information Theory and Coding, Cryptography and Network Security, Data Compression. (2001-2003) Gowtham Junior College, Vijayawada Intermediate Board of Secondary School Education Got an aggregate percentage of 93.9 (2000-2001) Viveka Public School, Tenali State Board of Secondary Education Got an aggregate percentage of 90 Skill Set Programming Languages C, C++, Objective-C Operating Systems UNIX, Windows, MAC OS X Programming Environments Visual Studio, GNU/GCC, XCode Scripting Languages Perl, Shell Programming Database SQL Other Tools Clearcase, gdb, arcmain, fastload, multiload, fastexport Industry Experience o TDBMS Duration: Mar'10 - Present Abstract: Teradata's Database Management System is massively parallel processing system with shared nothing architecture known for scalability and reliability. Working in the Access Module Processor division of the software which is responsible for handling the steps sent by the Parsing Engine. Gained expertise on Restore, Collect Statistics, Stored Procedures, Column Partitioning, Value List Compression, Algorithmic Compression, Secondary Index Processing and Large Objects features of the Teradata database. As part of the sustaining team, the responsibilities include: ? Design and development of low to medium complex enhancements. ? Unit testing and regression testing of the enhancements. ? Provide back ports and reviews of the enhancements. ? Gain deep knowledge of TDBMS product. Software used: C, C++, Clearcase, gdb, SQL Platform: UNIX o Radar Duration: Apr'09 - Mar'10 Abstract: Radar, Apple's problem tracking system, is a tool for managing the quality of hardware and software development projects. Radar can be used to track enhancements, action items, requirements, and design decisions. Radar also provides institutional memory, facilitates communication, and most of all, ensures development projects. Reproduced, analyzed and successfully fixed the crash which is related to loading of component tree for a component. Also fixed various bugs related to Radar. Software used: Objective-C, XCode Platform: MAC OS X o Automatic Speech Recognition Duration: Jun'08 - Mar'09 Abstract: Built a speech recognizer for a small vocabulary of cities and airlines. For building the recognizer, generated the files from the data collected, trained the acoustic models using SphinxTrain and also generated the files used by sphinx2 decoder for decoding, improved the performance of decoder by adjusting decoder parameters and removing excess unvoiced parts of the input speech files and evaluation of performance of the decoder. Worked on Finite State Grammars, binary language models and dictionary search routines. Also worked on noise removal algorithms from input speech files for further improvement in accuracy. Software used: Perl, C Platform: UNIX o Silence Detection Algorithms Duration:Nov'07 - Feb'08 Abstract: Coded Zero Crossing Rate based, energy based, pitch detection based silence detection algorithms, GD-VAD algorithm and also endpoint detection algorithm and compared their performance for letter segmentation on various cases. Software Used: C, C++ Platform: UNIX Achievements o Received scholarship from Govt. of AP for excellence in AIEEE examination. o Got good ranks in IIT, AIEEE and EAMCET. o Winner of Intra school chess competition.