VIJAYA RAM ILLA
**** ******** ****, *** *, Halethorpe, MD 21227
443-***-**** firstname.lastname@example.org https://github.com/vijayaramilla EDUCATION
Johns Hopkins University, Baltimore, MD September 2016-December 2017 Master of Science in Engineering Management and Computer Science (GPA: 3.3) Honors: Deans Merit Scholarship.
Relevant Courses: Networks, Machine Learning, Information Retrieval, Algorithms, Project Management. Godavari Institute of Engineering and Technology, A.P. India. September 2006 - April 2010 Bachelor of Technology in Electrical and Electronics Engineering (GPA: 3.3) EXPERIENCE
Student Intern, IT@JohnsHopkins November 2016 - August 2017
Contributed to the development of University web applications based on ASP.net MVC framework. Developed back-end system to update and maintain Payment transactions on MSSQL database servers.
Designed new controllers, Stored Procedures and back-end logic for credit card payment and student database use-cases. Extensively worked with ASP.net MVC, MSSQL and C#. Engineer, Networks, Software Development, Nokia, Bangalore, India October 2014-August 2016
Developed a C++ library and Server module to provide Alarm Management functionality. Employed Network Socket and Google protobuf to handle client-server request, also used multi-threaded architecture(PThreads) and STL containers.
Resolved Network IP packet loss and performance issues. Implemented a new Linux kernel driver to optimize the hardware timer function and enhance call quality.
Led the Boot & Startup domain, responsible for the OS con guration, BSP updates development and Code quality. Development involved shell scripting, C++ and python implementations to support multiple hardware variants. Associate Consultant Engineer, Nokia, Espoo, Finland August 2013-October 2014
Administered a cloud project by leading a team of eight. Designed new development tasks, tracked the weekly progress and acted as an interface between client and technical teams. Integrated new Libvert and KVM features to enable Virtualization.
Systems Engineer, Tata Consultancy Services Ltd, Hyderabad, India December 2010-August 2013
Implemented Automatic fallback feature that detects runtime software defects and enables custom boot scripts to restore working builds. This signi cantly reduced the hardware downtime and maintained platform high availability.
Worked on hardware bring-up with Linux platform. Integrated board support packages(BSP) for x86 64, Mips64 and PPC hardware.
Deep Doodle: CNNs for sketch classi cation-Pytorch, Numpy, Jupyter [URL] September 2017
Implemented a Convolutional Neural Network to perform multi-label classi cation of hand drawn sketches using Google’s quick draw data set. Experimented with Optimizers, dropout and data Augmentation schemes. Graphical Models: Hidden Markov Model for Structured Prediction [URL] December 2017
Implemented inference model for predicting hidden variables given a xed set of parameters. Also developed a model for learning model parameters using Expectation Maximization to explain the given time series observations. SKILLS