abhi agarwal

me

I'm a Junior at NYU, and I study Knowledge, Robotics, Computer Science, Math & Engineering at Gallatin School of Individualized Study. Interning at BuzzFeed this summer as a part of hackNY.

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ramblings

projects

ra - 2015

In Fall 2014 I took a course called Compiler Construction, and it sparked my interest in trying to build my own language. The language I started building in my Spring 2015 semester is called Ra. The idea with Ra was to try build a language for web-application generation. Ra is built ontop of Go with C bindings.

context - 2014

We set out to develop a reading experience that incorporates context of news articles. Given an article from a popular newspaper, what are possible stories and pictures that complement the article's content. We suggest a feed of content, including sentiment data on locations of events covered by the article and tweets from previous readers, to provide a more informed, and efficient reading experience. Context was built primarily in Python and won the HackPrinceton Bloomberg Prize.

learnt - 2014

Creating a knowledge integration map for articles on Wikipedia, and using this to created a weighted graph and study associations between articles. Integrating this into a notes platform to help users understand how to connect their notes together and to guide them to things they should learn next. Learnt was built in Node.js.

phys.js - 2014

Phys is a library created for individuals who want to use simple or advanced physics functions in their day-to-day work. Phys allows users to perform physics equations on the backend, and on the front-end. Phys has libraries for mechanics, thermal physics, quantum physics, and much more. Phys was built in Javascript. Links: node weekly, the web weekly.

dubsit - 2013-2014

I tried to rethink the way individuals search social content online. Dubsit was a platform that ranks output from social media websites (Reddit, Quora, Pinterest, Tumblr, Twitter, bit.ly, etc.). Dubsit is based off of Machine Learning and ranking algorithms that rank content based on the statistics (upvotes, comments, shares, etc) from social media websites. This allows users to get highest voted on content in social media quickly. Dubsit was built on Python.

research

exploring moral behavior of thinking machines - 2015

exploring methods of quantifying intelligence using theories in machine learning - 2014

steady-states of the one-lane roundabout - 2014

the travelling disease - 2014