1. NAGAPANDU POTTI
OBJECTIVE
To obtain a software engineer full time job opportunity that utilizes my technical and research skills.
TECHNICAL SKILLS
Programming and Scripting Languages: Java (proficient), C, C++, Ruby, Scala, C#, Bash
Databases: MySQL, MongoDB, Elasticsearch, Solr (open source), InfluxDB (Time Series)
Web Development: JavaScript, AngularJS, Ruby on Rails, ASP.NET, HTML, CSS, Bootstrap, PHP, HTTP Rest APIs
Others: AWS, Hadoop, Spark, Git, Agile, Scrum, Jira, TensorFlow, Fluentd, Kibana, Windows, Linux
EDUCATION
University of Florida, Gainesville, FL May 2017
Masters in Computer Science, GPA: 3.77/4
Courses: Big Data, Analysis of Algorithms, Advanced Data Structures, Databases, Distributed OS, Software Engineering
Manipal University, Manipal, India May 2014
Bachelor of Engineering, Computer Science, GPA: 7.53/10
PROFESSIONAL EXPERIENCE
Software Engineer Intern, Citrix Systems, Inc. XenDesktop Cloud Dev & Cloud Enablement team, USA May 2016 – August 2016
▪ Developed a Google Chrome extension for automating the generation of REST API authorization headers for XenApp, virtual
application delivery solution, and integrated the extension with Swagger (interface to API’s) based on its DOM. (JavaScript,
AngularJS, HTTP and Rest APIs, Git, Agile, Scrum, Jira, Windows)
▪ Developed the UI, build and deployed Microsoft App Virtualization packages of MS Access on Virtual Desktop Infrastructure to
be launched from any browser that transforms access reports stored on Azure Cloud Service into a secure Web App. (C#,
Microsoft Azure, AngularJS, Microsoft AppV, Perforce, Agile, Scrum, Jira, Windows)
Software Engineer, Cerner Healthcare Solutions, Cloud Ops team, India January 2014 – June 2015
▪ Involved in Research & Development. Created a Web based application to monitor Cerner’s Hadoop data processing in the cloud
that positively impacted 175 clients with increased performance and service requests decreased by 50%. (Java, Ruby, Hadoop,
MongoDB, Ruby on Rails, HTML, CSS, Bootstrap, Agile, Scrum, Jira, Linux)
▪ Developed a log management tool to analyze Hadoop MapReduce logs as an in-house tool. (Java, Ruby, Hadoop, Elasticsearch,
Fluentd, Kibana, Git, Agile, Scrum, Jira, Linux)
▪ Onboarded 30 clients, closed 110 service requests, jira (issues) and supported 175 clients for two cloud based applications.
(MySQL, Bash, Shell Scripting, Windows, Linux)
Web Development Intern, BDP, Tunisia (Africa) June 2012 – July 2012
▪ Worked on project ‘Creating a Dynamic Website’ to leverage the gap that exists in getting information about the products
available for trade. Witnessed the cultural diversity with interns over 30 different countries in host country. (PHP, HTML, CSS)
Technical Head, manipalthetalk March 2011-May 2012
▪ Administered the design, functioning of College based media web space that has a half million viewership at Manipal University.
Sponsorship Manager, MenucardsOnline 2011
▪ Managed the Marketing responsibilities for the business based web space at Manipal, India.
ACADEMIC PROJECTS
Distributed Facial Emotion Recognition using Google’s TensorFlow 2016
▪ Developed a convolutional neural network based deep learning model to recognize facial emotions with an accuracy close to
state-of-the-art accuracy, 65% using Google's TensorFlow - an open source software library for machine intelligence.
(352) 215 – 1182 ▪ nagapandupotti@gmail.com ▪ linkedin.com/in/nagapandupotti ▪ github.com/nagapandupotti

2. ▪ Exploited the distributed features of the cloud-based services in training the model on AWS with 28,709 images taking less
training time. (Python, AWS, Spark, Deep Learning)
Multithreaded Chat Application 2016
▪ Java based Internet chat application with Multithreading allowing any number of clients, and has features: broadcast & unicast.
(Java, Multithreading)
Secure REST API 2015
▪ Simulated a secure Facebook like API for albums, pages, posts, friends, profiles etc., using Spray Can as the backend HTTP server,
akka actor model and encryption strategies such as PGP.
▪ API is subjected to 100,000+ concurrent scala actors (clients). This API will not only proved to be highly secure but much faster
(at least approx. 50 times) than any Python/Ruby/Rails/PHP based APIs. (Scala, REST)
PageRank Application 2015
▪ Implemented the Google's Page Rank Algorithm using Spark and GraphX, and compared the performance metrics with the
individual implementations on WEX dataset (66GB).
▪ Deployed the program in AWS and successfully found convergence on large Graph datasets with more than 10000 nodes.
Smart Calendar (gochron) 2015
▪ Developed a web application in Rails to keep track of events happening at University of Florida, Gainesville region.
(Ruby on Rails, Ruby, MongoDB, jQuery, JavaScript, HTML, CSS, Bootstrap – Full Stack Development)
Chord Distributed Hash Table 2015
▪ Implemented ‘Chord P2P’ distributed lookup protocol in logarithmic time efficiency with the capability of self-stabilization.
(Scala)
Asynchronous Gossip 2015
▪ Implemented gossip and push-sum algorithms for aggregate analysis on network topologies such as 3d grid and line. (Scala)
RESEARCH PUBLICATIONS
Framework to Monitor Big Data Processing in the Cloud, Vol 6, No. 8 2014
Coimbatore Institute of Technology International Journal of Networking and Communication Engineering.
▪ Paper is based on data storage and data processing which is feasible to implement for the appropriate case in general.
A note on approximations with respect to ideals in seminearrings, Vol 9, pp. 157-160, No. 2 2014
International Journal of Computational and Applied Mathematics.
▪ This paper extends the scope of rough set theory in dealing with data sets.
Intuitive aspects of Graph Theory 2012
National Level Technical Fest ‘TechTatva’ of Manipal Institute of Technology.
▪ Paper established connection between graph theory and computer networks opening up new developments in the networking
field.
EXTRA-CURRICULAR ACTIVITIES
Key Presenter, DevCon, Cerner All India IT Technical Conference 2014
▪ Delivered a Talk on ‘Argos-Prevent a Storm on the Cloud’ before an audience of more than 1500 people that included personnel
from all units of the company in Cerner’s yearly technical symposium.
▪ Explained the associates’ ways to interact with Hadoop JobTracker and present the relevant information onto the dashboard for
effectively utilizing the obtained map reduce job-related parameters in dealing with data.
Organizer, Workshop on Computer Applications based on Modern Algebra 2013