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Management Computer Science

Location:
Bellevue, Washington, United States
Posted:
October 23, 2016

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acw64k@r.postjobfree.com 425-***-**** Madhuri Illuri Linkedin: https://www.linkedin.com/in/madhuriilluri

Summary

Experience in Front-end & Back-end development.

Experience in Object oriented programming.

Experience in client server & distributed applications development.

Experience in Web development & Cloud technology.

Experience in Machine learning and algorithms.

Education

University of Washington, MS in Computer Science and Systems GPA:3.8 Course Work: Operating Systems, Advanced algorithms & analysis, Distributed Systems, Machine Learning, Cloud & Virtualization Engineering systems.

JNTU University, Major in Computer Applications GPA:3.6 Course Work: Computer architecture, Data structures and algorithms, Advanced Java Programming, Software Design & testing methods, HTML, XML, Java Script, Database management systems, Human computer interaction.

ANU University, Major in Mathematics & Electronics GPA:3.6 Course Work: Calculus, Discrete Mathematics, Matrices and Linear Transformations, Graphs, Geometry, Bit manipulations. Employment

Technical development Intern, AT&T. Summer-2016

Cloud Automation

Worked on an end-end application development for creating a multi node Hadoop deployment environment in the cloud. Written scripts in python for automating the configuration, installation and provisioning of Hadoop clusters so that clusters can be automatically deployed to the Cloud. Making the environment cloud agnostic and scalable. Python, AWS, Cliqr Customer Recommendation API

Developed an API that acts as a Recommendation system using machine learning algorithms and analytics. The API calls provide information about customer preferences, reviews, ratings and recommendations. Projects

Heroes on the Water Veteran Web application (2016): Implemented a robust and fully functional end-end web application for HOW Veteran Organization as part of intern coding challenge at AT&T. The software excels the features that facilitate the management of HOW organization in the following areas. 1.HOW events 2.User Control 3. Inventory Control. Technology: Node.Js, MongoDb, Ajax, Jquery, HTML5&CSS3.

User profiling in social media (2016):

Implemented a system for predicting age, gender and big five personality traits of Facebook users based on the profile picture, status updates and the pages they liked. Applied Neural Networks and other Machine learning algorithms for predictions. The model has shown more than 75% accuracy with test data. Technology: Python, R, Scikit learn.

Anomaly detection in IoT data (2016):

Worked with Bosch company research team on IoT data analytics. Applied streaming analytics on live data coming from sensor devices using Spark Streaming and Machine learning to detect anomalies. Technology: Java, Spark, Kafka.

Distributed fault tolerance application using PAXOS (2015): Implemented a distributed fault tolerance application using Paxos protocol to achieve consensus of updates amongst replicated state machine servers. It is deployed and tested on the clustered system available through the University. Technology: Java

Library Management System (2014):

Implemented a Library Management software for monitoring and controlling the transactions in a library. Which is used in my college department library. Technology: Java, Swings, Java script, Apache Tomcat, Servlets, SQL Technical Skills:

Programming Languages: C, Java, Python.

Web Technologies: Node.js, Angular JS, JQuery, JavaScript.

Databases: SQL, Mongo DB, Dynamo DB

Cloud Technologies: AWS, Cliqr

Operating Systems: Windows, Linux, Ubuntu



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