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&nbsp; <a href='index.php'>Home</a><BR>
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&nbsp; <a href='academic.php'>Research</a><BR>
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&nbsp; <a href='contact.php'>Contact</a><BR>
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<h1> Synopsis </h1>
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I am currently a graduate researcher at the Media Lab, Masachusetts Institute of Technology. I am also affiliated with the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory.

Previously, I have worked as a researcher affiliated with the Harvard/MIT Health Sciences and Technology Division Children's Hospital Informatics Program.</p>
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My research interest span diverse domains involving development of novel, interdisciplinary approaches that bridge different facets of engineering and science. Specifically, I have been involved in developing formal models and implementations for programming language interoperability. I am also involved in robust approximate solutions for large scale machine learning problems and their reliable deployment on distributed infrastructures. I apply such solutions to solve problems ranging from systems biology to computer vision. Other than that I also dabbles in creating intuitve interfaces for spreading usage of high end research both in computer vision and formal theories to the masses.
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<h1>Biography</h1>
I graduated with a Bachelors and Masters in Computer Science and Engineering from the Indian Institute of Technology, Delhi, India in 2010 with his thesis involved in Context-sensitive Ontology Mappings Over Massive Datasets. In my undergraduate years, I was invited as a researcher at the Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology. I subsequently spent a summer working under Professor Gil Alterovitz and Late Professor Marco Ramoni at Harvard Medical School. Further collaborative endeavors led me to spend a quarter at Stanford University under Professor Mark Musen.
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I have worked at Google as a part of their initiative to create the next prodigical application. I have also worked at IBM as a research intern on spreading the Hyper-text Internet to the masses.
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