Interning at BuzzFeed this summer as a part of hackNY.
I was born in Jaipur, India, grew up in Bangkok, Thailand, and now live in New York, US.
I've been programming since I was 11, and since then I've fallen in love with computers, the web, Apple, and the virtual world. I love the fact that you create something from nothing using these weird commands, and that you have complete freedom over what you make. It fascinates me how far we've come with everything in such a short period of time.
I've been involved in many projects from designing scaled websites, to helping create small communities, to just freelancing. I'm still learning. I'm planning to teach myself everything about the web - and wanting to learn every language I possibly can. On my blogs I share the resources I use to learn or I sometimes just log what I learn.
My goal as a student, programmer, and as a consumer is to create a product that changes the way people, or just the way I use computers on a daily basis. My second goal is to get a work for KhanAcademy one day or a startup concentrated on bringing knowledge to the masses. I'm more of a start-up person and in the future I'd love to work at an intense start-up environment.
I'm also a big fan of the TED conference, and I attended TEDActive 2013 and I am hoping to attend the actual TED conference one day. One of my primary life goals is to give a TED Talk that inspires and changes the way people behave and use technology like I have been inspired while watching the incredible speakers at TED. In the past I've co-organized a TEDx conference - TEDxBangkokPatanaSchool and have had an amazing experience in planning and designing the resources necessary to create this site.
I'm also a passionate trekker. I've trekked up to Everest Base Camp, Mount Kinabalu and done the Duke of Edinburgh Award (Bronze, Silver, Gold). I'm very passionate about trying to physically push myself to the limits and I'm always up to try something crazy, something incredible. I'm also a passionate scuba diver, surfer, life-guard, and swimmer. I love being healthy - fun fact: I've lost 35 kgs/80 pounds in the past! I take my food seriously.
I love hackathons, lean startup, spending all night creating projects and discussing life. I also love to come up with simple solutions. I'm also interested in talking to anyone who's interested in discussing things.
This project was my attempt at building a GIF search engine that could understanding natural language search. I used a variety of methods to tag and classify images images (such as object detection, scenery detection, etc), and used a couple APIs to validate and generate more tags. I built primarily in Python and C++, and this was built during HackWeek at BuzzFeed.
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.
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.
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.
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.