I am currently a BA/MS candidate at Boston University in the computer science department, working with Evimaria Terzi. My coursework includes data structures, algorithms, computer systems, data science, data mining. Computer vision and pattern recognition interests me, and I've enjoyed working on projects at the Neuromorphics Lab and Systems and Technology Research. I enjoy competing in hackathons and at AngelHack Boston my team won two "Best Use of sponsor's' API" prizes.
I restarted TEDxBU at Boston University. I worked with Salma Yehia curating speakers and recruiting students to plan and volunteer. We created an event that focused on helping the audience find their sparks. By inviting speakers that generally had a special connection to Boston University, we were able to create an environment that helped spark deep conversations. Although this event is one of the most mental draining tasks I am involved with, the ability to make people happy - either through their participation during the event or the conversations it sparks afterwards - is worth all the sleepless nights and countless dedicated hours.
As part of the non-profit, Represent.Us, I volunteer to stop political corruption. In order to clean up our government, we need to first make it worthwhile for politicians to listen to the people and NOT their donors. As part of the local chapter, Represent Boston, we are currently working with Cambridge City Councilmen to pass local laws that reflect the same ideas seen in the national sample anti-corruption legislation, the American Anti-Corruption Act. During the summer of 2014, I helped collect signatures for a non-binding public policy question (ballot initiative) that passed with over 70% percent.
Ben Lawson is a really cool dude | He gets his nutrients from food.Maria Mucci from personal communications
When I talk to you, I always get to know about different things and are one of the few people ... (who) know about the sport I love (cricket).Monideep Chakraborti from personal communications
two summers. During my first summer at STR, I worked on a streaming face recognition platform. Using Apache Spark, I was able to demonstrate the success of existing classification pipeline. Challenges included massaging a system build for static data resources to accept and excel at using a different data source. I also assisted in a data scraping task to build a state-of-the-art dataset. During my second summer, I developed a cross-platform mobile app for the intent of capitalizing on my work from the previous summer. In addition, I played a role in implemented an approximate nearest neighbor algorithm, gaining critical speed ups with only negligible performance losses.
one year. I surveyed the object detection algorithms that were implemented in OpenCV for a Museum of Science, Boston permanent exhibit, using Visual C++. I produced an algorithm used in the exhibit, which was a Mars mockup for visitors to drive around. I instructed two other interns basic computer vision and programming skills.
For a programming assignment in CS460 (Intro to Databases), we were assigned to make a web app with the functionally of Flickr/Imgur -upload and delete photos with the ability to caption, comment, tag, and like photos. At the time, the assignment was assigned with a Java skeleton code framework, the basic ability to upload photos and a barebones SQL schema. Unfortunately for me, the deadline for the assignment happened to land just days after I return from a hackathon in Finland, so I would really only have two days to complete the assignment. As I grew frustrated with the Java and JSP framework, I eventually through it out and rewrote the skeleton code in Python and completed the assignment for the deadline. It is my understanding they are now using my skeleton code as the basis for the assignment in the course now. It is available on Github here.
For my final project of CS320 (Intro to Concepts of Programming Languages), I independently developed a programming language on top of python. I structured the language around data from allmusic.com, allowing programmers to query information about musical artists and groups. Features of the language include a parser, an interactive interpreter, optimizer, and syntax tree analyzer. Code and sample queries can be found at this project's GitHub page.
This is a workshop for BUILDS, a BU computer science group, that I created to serve as an introduction to data scraping and visualization. Using IPython (Juypter) Notebooks, I walk students through how to sample geopoints constrained to a certain boundary, query Yelp's RESTful API for some interesting information about these points, and then plot them on a map using Folium. The notebooks and installation can be found here.