CHIRANJEEVI ANKAMREDDY

EMAIL: ac0c1b@r.postjobfree.com MOBILE: +1-872-***-****

Education

Illinois Institute of Technology, Chicago,Illinois PhD GPA: 4/4 -- Illinois Institute of Technology, Chicago, Illinois Masters in Computer Science GPA: 4/4 May- 2016 Research & Publications

Published a paper on Parser in INTERNATIONAL JOURNAL OF SCIENTIFIC AND PUBLICATION.

Published a paper on Audio video class room interaction on Akash app In INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND DEVELOPMENT.

Designed and implemented Volunteer cloud computing research framework.

Research Assistant at Data -Intensive Distributed systems Laboratory and worked on Worn Segmentation Research Project, published a IEEE paper on “Improving computation performance of C. ELEGANS Roundworm tracking and segmentation “.

Worked as a Teaching Assistant in Mobile Application Development. Experience

Accentiqa, Hyderabad, India Role: Software Intern 7/2012-12/2012

Worked on Basic Functionalities in Healthcare Website. Indian Institute of Technology, Bombay Role: Software Engineer 4/2013 -6/2014

Designed Video chat application On Akash Tablet.

Created a Dummy parser in Graphical Interpreter. United Heath Groups, Hyderabad Role: Software Engineer 7/2014-7/2015

I had developed Functionalities using java in Member interaction and issue management.

Worked on many customizations as well as new enhancements for quote to cash program. Illinois Institute of Tech. Role: Research Assistant 9/2015-4/2017

Worked on Volunteer cloud computing research framework using java, Docker containers and AWS.

I have been working as a Teaching Assistant for Mobile Application Development. University of Chicago Role: Software Development Engineer 4/2017-Present

Currently working on CDR website wireframe project. Projects

Volunteer cloud computing research framework

I’m working on my research Project “Volunteer cloud computing research framework”. The main aim of this work is that clients could use the volunteer computing resources using VERTICO, evaluated benchmark up to 128 nodes using java, AWS, Docker containers, AmazonDynamoDB, MySQL and UNIX. IMPROVING COMPUTATION PERFORMANCE OF C. ELEGANS ROUNDWORM TRACKING AND SEGMENTATION

I started with profiling the existing code and found that it is slower because it uses Quick Find algorithm on the Union Data Structure and rewritten the segmentation for CPUs and GPUs in C++ using the OpenCV library And C using ImageMagick library, java and MATLAB.

Accelerating Markov Decision Process Algorithms through Parallelization

I worked on different data structures to solve Generalized Problems. Analyzed the cost of computation for all three Data structures, experimental results show improvement speedups. And implemented parallel algorithms in OpenMP and Cuda for optimized Data structure. Meanwhile, the cost of computation of this method is analyzed. And, Solved the Particular MDP problem, parallelized in OpenMP and Cuda, Evaluated the Performance and compared between serial and parallelization techniques. Experimental results demonstrate excellent speedups, through parallelization these methods achieved high performance, Especially on GPUs. Distributed Hash Table (DHT)

I implemented Distributed Hash Table using java, and evaluated performance on AWS Cloud on m3 medium over 100k operations. Compared DHT performance against Cassendra, Riak, ZHT, HBase, and Oracle NoSQL. Moreover, I Developed a Decentralized file sharing system using Java, sockets, threads. And Implemented a Centralized File system

(One Server and many Peers), Here all the Peers were connected the server using TCP. Summery Load Balancing In Ec2

Implemented Tera Sort application in Java, Hadoop, MPI and Spark using Amazon Web Services (Ec2), S3 on a cluster which scales up or down based on demand, Implemented Small scale applications in Java and Hadoop using Amazon Web Services (Ec2) on a cluster of multiple nodes using SQS (queuing jobs). Audio Video Class Room Interaction on Akash Tablet

Internship at IIT BOMBAY, worked on “Audio video class room interaction on Akash Tablet “under prof.Dr.D.B. Phatak, Implemented Video streaming and Audio recording using WebRTC, Java and Node.js. Graphical Interpreter

Internship at IIT BOMBAY, worked on “Graphical Interpreter” under prof. Dr. Deepak B. Phatak, created a Dummy Parser using java.

Crime Prediction

Developed predictive models for crime, to help the Bureau and police departments around the country to use machine learning to better focus their resources on locations where crimes are more likely to be committed. Models: Decision trees, Linear classification, Regression, Data imputation (Python and R) Member Interaction and Issue Management (MIIM)

Worked on Member interaction and issue management (MIIM), Designed intents in MIIM Application using Pega and Java.

College Website

developed a project titled “College Website” using java, under the guidance of MS. B. Prashanthi. Designed the website based on qubit`12 techno fest requirements. IIT Galvin Library App

Designed IIT Galvin Library Application Using Android under Prof.Zihpeng Hao. CDR website wireframe

Currently working on CDR website wireframe project using Angular JS and MongoDB Technical Proficiency

Programming Languages : C, C++,Java, PHP, C#, Python, R, Scala, Go Frameworks and platforms : Hadoop, Map Reduce, Spark, Android, Docker Containers,.NET,AngularJS Operating Systems : Windows, Linux, Android

Databases : MYSQL, Oracle

NoSQL Databases : Amazon Dynamo dB, MongoDB, Riak, Cassendra, ZHT,HBase, RethinkDB,Oracle NoSQL CS Concepts : Data structures and Algorithms

Client-side Scripting : HTML5,CSS, JavaScript,JQUERY Web Applications : JDBC, Servlets, JSP,Node.js

IDE/Workbench : My Eclipse 6.0,Net Beans,visual Studio,Dev C++,Jupyter Notebook

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