80 Merrimac St, Buffalo, New-York 14214

S R I R A M K R I S H N A R E D D Y . R E D D Y

(607) 203-3802 sriramkr@buffalo.edu

EDUCATION

BUFFALO, NEW-YORK UNIVERSITY AT BUFFALO, STATE UNIVERSITY OF NEW-YORK Aug 2014 – Dec 2015

• Master of Science, Computer Science & Engineering GPA : 3.35 • Relevant Courses : Information Retrieval, Analysis of Algorithms, Distributed Systems, Machine Learning,

Fundamentals of Programming Languages.

HYDERABAD, AP, INDIA JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY June 2010 – May 2014

• Bachelor of Technology, Computer Science & Engineering GPA : 3.4 • Relevant Courses : C Programming and Data Structures, Data Structures through C++, Object Oriented

Programming through Java, Database Management Systems, Operating Systems, Linux Programming, Web Technologies.

TECHNICAL EXPERIENCE PROJECTS Content Management System in PHP (June 2015). • Developed CMS with public area, it allows them to see subjects and pages that we've chosen for them to see in a

read only context. Admin area has user authentication, which requires admins to authenticate themselves by logging in with a user name and password. Platform: PHP (LAMP),sqlite3 IDE: PHPStorm

Group Messenger with FIFO and TOTAL Ordering Guarantees (Spring 2015). • Developed a Group Messenger chat application which provides First In First Out Ordering along with TOTAL

Ordering of messages across different Nodes(phones). Platform: Android, Java IDE: Android Studio

Distributed Hash Table (DHT) based on Chord (Spring 2015). • Developed a storage system that provides lookup service similar to Hash-Table. • Each Node in P2P (Peer to Peer) system is given a Hash Value based on Node-ID and each File is stored in

corresponding Node based on Hash Value of File ID. This guarantees quick look up and load balancing in the network. Platform: Android, Java IDE: Android Studio

Hand Written Digits Classification (Spring 2015). • Implemented a Multilayer Perceptron Neural Network in classifying handwritten digits with an accuracy of 93%

over 10,000 test data set and 50,000 training data set. • We used Feed Forward and Back Propagation to implement Neural Network. Used regularization in neural

network to avoid over fitting. Platform: Python IDE: Enthought Canopy

Parsing and Indexing Text Files for Efficient Information Retrieval (Fall 2014). • Successfully able to develop an Indexing project given some structured text files and provided search mechanism

to provide ranked results. • Developed News Personalization application, which retrieves relevant news articles for a personalized user.

Platform: Java IDE: Eclipse Technologies Used: Apache Solr

Student Management System (Student Portal) (March 2014). • Developed a user friendly .NET application to maintain student information effectively over the web. This

application provides educational institutions to update their student details on the website. A student can view his information with login credentials. Platform: C#.NET, ASP.NET, SQL Server 2008 r2 IDE: Visual Studio, SQL Server Management Studio.

LANGUAGES AND TECHNOLOGIES Programming Languages: C, Java, Python,Android Programming, C++, Objective-C, C#.NET Packages: Eclipse, Android Studio, Canopy, Microsoft Visual Studio, Microsoft Office, X-Code Database: SQL Server, MS Access