Anirvana Mishra
*** ***** **** ***** **** Madison, Wisconsin 53717
Phone: 608-***-**** Website: www.anirvana.com E-Mail: ******@*****.***
Github: https://gist.github.com/nirvana-attained
Skills
Programming languages: C, C++, HTML/CSS, PHP, Core-JAVA, Javascript, AJAX, jQuery, Ruby on Rails,
InterSystems Cache, Visual Basic 6.
Version Control systems: Mercurial and SVN
Operating systems: *NIX
Databases: MySQL, Chronicles (Epic System’s object database)
Professional Software Development Experience
Epic Systems Corporation – Software Developer November 2011- Present
Design and develop backend components for Epic OpTime, which is a Surgery management system.
Epic OpTime is the highest rated surgery management software according to KLAS ratings. My responsibilities at
Epic include:
1. Analyzing complex surgical needs and designing new features within existing software to meet those needs.
2. Writing code using InterSystems Caché, Visual Basic 6 and HTML/CSS. Epic has a gigantic codebase with
more 20 million lines of code.
3. Debugging software application rapidly.
4. Occasionally traveling to customer locations to better understand real-world use of Epic’s software.
Google Summer of code – Student Developer June 2010 – August 2010
Mentoring Organization: Mozilla Foundation
Mentor: Ludovic Marcotte
My responsibilities included:
1. Add extension points in Mozilla Lightning to allow full access control list (ACL) support. These extension points
would facilitate extension developers to provide a subtle integration or interoperability between lightning and
their extension.
2. Add Email alarm support. This would enable users to get an email notification whenever an alarm triggers.
3. Code was written in Javascript and XUL.
Research Projects
How informative social interests are for noun phrase categorization June 2011-October 2011
Advisor: Prof. William Cohen, Carnegie Mellon University
Examine how informative social interests are for noun phrase categorization. We believed the editing pattern of
people on Wikipedia reflect their social interests and thus the Wikipedia edits of a noun phrase - when used as
a feature for classification - should yield interesting results.
Research findings are located here: http://goo.gl/6iz7n
Programming languages used: PHP, Java, MySQL-database
Knowledge base creation from public discussion forums June 2011-October 2011
Advisor: Prof. Srikanta Bedathur, Indraprastha Institute of Information Technology (IIIT), Delhi
Use gigabytes of data from Stackoverflow discussion to create a browse-able knowledge base of Math and
Computer science. We tagged concepts in stackoverflow posts and observed the relationship between two
concepts in a Stackoverflow post. These concepts came from Wikipedia categories. Main objectives of the
project were:
1. Automatic creation of knowledge base for Computer Science and Mathematics.
2. Intelligent user navigation in public discussion forums like Stackoverflow.com.
Programming languages used: PHP, HTML/CSS, MySQL-database
Education
Delhi College of Engineering – University of Delhi June 2007-June-2011
Bachelor of Engineering in Computer Engineering
Score: 74% (First class) (Equivalent to 3.5 GPA)
Relevant Coursework:
Software Engineering, Introduction to Programming (4 courses), Principles of Computer Graphics, Discrete
Mathematics and design of Algorithms, Computer System Organization, Information System and Data
Management, Advance Computer Architecture, Compiler and Translator design, Artificial Intelligence, Theory
of Automata and Formal Language, Database Management system
Principles of Electrical Engineering, Mathematics (3 courses), Electronics (2 courses), Circuits and systems, Power
apparatus, Electromagnetics, Digital circuits and Systems, Principles of Communication Engineering, Linear
integrated circuits, Microprocessors and applications, Control engineering
Open Source Contributions
Improved the time-zones algorithm for Mozilla Calendar - http://goo.gl/QvHoX
Improved the .csv file import script for Limesurvey.org
Publications
1. “Accessing the Word Bank open data programmatically", appeared in the winter-2011 edition of ACM
XRDS http://goo.gl/BH7iI
2. “Improving keyphrase extraction by using document topic information”, appeared in proceedings of
IEEE International conference on Granular computing(GrC) 2011 (Part of Final year thesis)
http://goo.gl/9KutH
3. “A Novel Approach to Keyphrase Extraction Using Augmented Transition Networks and Statistical Tools“,
in proceedings of ACM Compute 2011 (Part of Final year thesis) http://goo.gl/A9k2R
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