Educational Background:
•M.S.E (Computer Science), Johns Hopkins University, Baltimore, MD, U.S.A. GPA: 3.2 2011
•B.Tech (Information Technology), JNTU, Hyderabad, India. GPA: 3.5 2009
Skills:
•Core Languages: C++, Java, C, Matlab.
•Scripting Languages: Perl, JavaScript.
•Web Technologies: HTML, CSS, PHP, XML.
•Libraries: Android SDK, Boost, C++ STL, OpenCV, OpenGL, OpenIGTLink, Http Apache Libraries.
•Databases: MySql.
•Packages/Tools:, Visual Studio, QT IDE, Eclipse, SVN.
•Platforms: Mac OS X, Windows, Linux.
Work:
Software Engineer, Clear Guide Medical, Baltimore, Maryland: Sept 2011 - present
•Actively involved in the design and development of ultrasound-guided navigation system at the startup.
•Major modules include calibration of the entire system(software and hardware), frame grabbing from the ultrasound device, front end GUI application development and documentation for the entire system.
•Implementation is in C++, OpenCV, OpenIGTLink.
• Finalists in TECO ICE Awards 2012 for innovation.
Beta Tester, Laureate Higher Education Group, Inc: Dec 2010 - May 2011
•Tester for the educational products developed at Laureate.
Online Instructor, Center for Talented Youth (CTY), Johns Hopkins University, Baltimore, Maryland: June 2010 - Jan 2011
•Instructed HTML and CSS and the role includes grading and clarification of doubts.
Relevant Coursework: Sept 2009 - May 2011
•Database Systems, Computer Networks, Computer Systems.
• Computer Vision, Computer Graphics, Information Retrieval and Web Agents.
•Algorithms, Algorithms for Sensor Based Robotics.
Research, Johns Hopkins University, under the guidance of Dr. Gregory Hager and Dr. Simon Leonard:
Stereovision:
•Stereovision is the extraction and analysis of 3D information obtained from digital images.
• Implemented as a part of a scene-parsing project. Matlab and Camera Calibration Toolkit were utilized to implement it.
Optimization Methods for Rigid Point Set Registration:
•The study intends to find the rigid transformation between two 3D point clouds, involving least cost and high accuracy. Regression analysis techniques such as Least Median of Squares (LMS) and Least Trimmed Squares (LTS) were used to achieve extremely good results for data containing up to 50% outliers. Implemented using Matlab.
Constrained Optimization for Rigid Point Set Registration of Multiple Objects:
•The work focuses on constrained optimization of the transformation of a stack of individual objects, placed one over another and transformed as a whole. Implemented using Matlab.
Academic Projects, Johns Hopkins University, Baltimore, Maryland:
Dbox Android Application:
•Dbox...
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