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Resume
Name : M. Bharath Kumar
OBJECTIVE
To be involved in path breaking research in the field of Data Mining and
Artificial Intelligence, and to contribute in a meaningful manner to the
scientific community at large.
EDUCATION
Under Graduate
Bachelor of Tech in Computer Science and Engineering, IIITHyderabad (Expected in 2003)
Higher Secondary Rayalaseema Arts and Science Junior College, Tirupati. (1999)
Rayalaseema High School, Tirupati.(1997)
Secondary
UNDERGRADUATE GRADE POINT AVERAGE (at the end of three years)
8.36 / 10
STANDARDIZED TEST SCORES
 Graduate Record Examination (GRE): 2100 / 2400 (Analytical:
680, Quantitative: 760, Verbal: 660)
 Computer Based TOEFL: 270 / 300
HONORS & SCHOLARSHIPS
 Secured 93.5% in Higher secondary.
 Secured 240th rank (out of 60,000 applicants) in Engineering
And Medicine Common Entrance Test (EAMCET).
 Secured 264th rank (out of 26,000 applicants) in the All India
Entrance Exam conducted for admission into International
Institute of Inforamtion Technology(IIIT), Hyderabad.
 I am recipient of the IIIT Dean’s scholarship award for excellence
in academics in 6th semester.
WORK EXPERIENCE
 I have worked with the Language Technologies Research Center
at IIIT, in course of which I developed a Linux Help System
(LHS) for novice linux users.
 I worked as an intern at Orillion India Pvt ltd for a period of 2
months during which I worked on the Openh323 project
(www.openh323.org).
 I worked as a Teaching Assistant during my undergraduate study
and have graded assignments and taken tutorials and laboratory
classes for the IT workshop 3 course.
SOFTWARE SKILLS
Programming Skill: C, C++, Java, Perl
Operating Systems: Windows 95/98/ME/2000/XP, Linux.
Programming Tools and APIs: Visual C++, Visual Basic, OpenGL,
GTK, QT, CGI, Lex and Yacc.
Others: HTML, CGI, Servlets, XML, MySql, Gimp, Microsoft Office
AREAS OF INTEREST
My interests lie in the fields of Artificial Intelligence and Data Mining. I
would like to work on challenging problems necessitating innovative
solutions. The ability to learn and apply new concepts and technologies,
quickly and effectively is what I consider to be my strong point. I elected
the following courses in the areas of interest during my undergraduate
study:
Database Management Systems
Data Mining and Data Warehousing
Web Data and Knowledge Management (Web Mining)
Artificial Intelligence
Natural Language Processing
Artificial Neural Networks and Fuzzy logic (Soft Computing)
PROJECTS
Linux Help System
Main objective of this tool is to answer the user given queries, by
matching them with the appropriate “Man Pages”, and help the novice
linux users in getting familiar with the commands. This is similar to
Microsoft office-assistant. Information retrieval techniques like “creating
index files”, “Term frequency inverse document frequency (TFIDF)” are
used.
Information Retrieval from Resumes
This tool helps in filtering the applicants based on the criteria specified
by the user.
Knowledge representation of the “blocks world” actions using
“conceptual graphs”
“Blocks world” consists of blocks like cubes, cones, rectangular boxes
etc. Initially all the positions of the blocks are recorded and presented
pictorially. A tool was made where, given a command like “Move the red
block on the blue cylinder to the top of yellow cube” will pictorially
show the changed positions of the blocks. “Conceptual graphs” are used
to represent the actions (verbs). This project was done as part of the
Natural Language Processing course.
Speaker Verification based on Imposter Calculation using Artificial
Neural Networks:
This project aims at verifying the identity of the speaker using his speech
samples. Artificial Neural Networks have been used to train the system.
Initially, the system is trained with 5 minute speech samples of the all the
users. When a user claims his identity, a new 1 minute speech sample is
recorded and tested with the to validate the identity.
Recommendation Systems – “Exploring the effects of Transitive
Similarities on the performance of Item Based Collaborative
Filtering”
Recommendation Systems recommend products to users based on their
past buying patterns. I am working on the aspect of improving the
performance of Item Based Collaborative Filtering to make effective
rating predictions to the users. My aim is to reduce the Mean Absolute
Error (MAE) in prediction ratings.
Library Automation
Aim of the project is to develop software which would automate the
functioning of a library over a network, be it Internet or Intranet. The
system provides most of the basic functionalities like managing book
issues, returns and reservations etc.
OTHER ACTIVITIES
I believe in developing myself into a well-rounded individual and take
great pleasure in participating in extracurricular activities. I have
represented my school in inter-school quiz competitions. I am also an
active participant in literary competitions. I was also the Class
Representative of my undergraduate class at college.