When courses like ” Design and Analysis of Algorithms

When I think about advancement of science and technology, one of the
most futuristic is the prospect of machine super intelligence –machines
matching humans in general intelligence.

For decades, simulating the human brain by computers has been religiously
pursued, yet the results are still not close to what nature has made
.Researchers like Pedro Domingos have proposed for the ultimate learning
machine which derives all knowledge – past, present, and future from data by a
single, universal learning algorithm and rightly call the algorithms as – “The Master Algorithm”. If such an
algorithm is possible, inventing it would be one of the greatest scientific
achievements of all time and singularity is indeed near, as rightly argued by
Ray Kurzweil in his book “Singularity is near”. This invention will have  huge implications for world economy , it can
revolutionize scientific research , invent everything else we need ,
discover  patterns in nature  provided enough of right kind of data is  made available and by using advanced
algorithms for data mining  and machine
learning, hidden trends and patterns may emerge that may advance our
understanding of our world.

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I feel excited about this possibility of super-intelligence, where
machine intelligence compliments human intelligence to create an age of
Artificial Intelligence .I want to contribute to that age of evolution. This
motivates me to pursue M.S. degree in Computer Science (with emphasis on
Machine Learning).

I earned my undergraduate degree in Computer Science at the CVSR College
of Engineering, affiliated to Jawaharlal Technological University, Hyderabad. Having
been exposed to the various facets of Computer Science, I found Theoretical
Computer science most intellectually satisfying and simulating , particularly
courses like ” Design and Analysis of Algorithms “.Laboratory work provided
deeper insight into various intricacies of computation & programming , this
encouraged me to continuously learn and apply theoretical concepts  and that is one of the reasons why my marks in
oral examinations , practical examinations  and my final year project are on the higher
side .

During my final year project, I had the opportunity to
build a web based simulation of an intelligent system which which detects road accidents, notify them
through vehicular networks, and estimate their severity based on the concept of
data mining and knowledge inference.
It was during the course of project work, I came across machine learning and
was fascinated by the breadth of applications of machine learning and the capability
of learning algorithms. Even after obtaining my Bachelor’s degree, I continued
my study by reading books such as “Programming Collective Intelligence “and
through online courses such as Machine Learning by Andrew Ng, which was a great
introduction to ML with rigorous coursework, during which I have implemented
neural network in octave for digit recognition and Bayesian Statistics by Herbert Lee which provides mathematical intuition behind some of the learning
algorithms.

 

As
an Assistant System Engineer at Tata Consulting Services Limited (TCS), I
worked on developing enterprise web application for one of the largest
healthcare service providers based out in U.S. I was actively involved in developing
and delivering 9 users’ cases across 3 modules. I also worked on application
level framework development, rule engine frameworks and gained insightful
knowledge on design patterns , enterprise integration patters ,application
level designing , please refer my CV ,if you are interested in more details. Finally,
I am a strong implementer already familiar with many software development
technologies and frameworks.

 

I
look forward to pursuing a career in research and development by prototyping/building
useful models, frameworks and developing cutting edge software particularly in
the field of machine learning. To achieve my research and career goals, I hope
to study in an environment filled with active learners and creative ideas. is famous for solid training in engineering and for having abundant
research in the field of machine learning .In addition , interacting with
members of your research group will give me an invaluable opportunity to
broaden my horizons and later work in many research areas that I cannot
anticipate at the moment. Given my background, I believe I am in a good
position to make crucial contributions in such pursuits.

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