Hi, my name is Karunya Sethuraman, and I'm a recent CS graduate from MIT (S.B. & M.Eng '20), currently open to new opportunities.
M. Eng in Computer Science and Engineering, Systems Concentration (Sept. 2020)
Thesis Advisors: Dr. Randall Davis and Dr. Dana L. Penney, MIT Computer Science & Artificial Intelligence Laboratory
Worked on Xilinx’s $35Bn Sale to AMD and Gores Holdings VI’s $2.3Bn Acquisition of Matterport
Worked on several technology transactions; share buybacks, mergers, and acquisitions
Taught students to speak confidently and give effective technical presentations
Built custom catalogs, responsive product page features, internal API for mobile clients, and internal tool to facilitate creation of personalized onsite schedule pages for interviewees
Full-stack web development; deployed web application to provide real-time content at concerts
Please see below a couple projects I've worked on.
Worked with Partners In Health on a website (https://bamavax.info) and twitter bot to scrape available Covid-19 vaccine appointments across the state of Alabama and make them available
We aim to create a state-of-the-art cross-stitch pattern generator and use it to both generate and sell custom patterns & cross-stitch kits. Currently funded by MIT Sandbox.
Final project for 6.857 (Network and Computer Security) - a secure email voting scheme based on an overlay network that utilizes onion routing to provide users with anonymity. Includes strategies for secure registration, voting, and authentication.
A system that allows the user to submit images over text and returns a Spotify playlist songs based around the image's properties (color profile, detected expressions / objects, etc). This project was built with Flask in Python and uses the Google Cloud Vision and Language Processing API, the Spotify API, and Twilio.
FRUITS offers the opportunity to create an unlimited number of different itineraries. Each itinerary keeps track of the locations visited and the times in the schedule reserved for the visit. System: built using Ruby on Rails with a React frontend, leveraging Google Cloud Platform for Maps and Places.
Final Project for 6.047 (Computational Biology: Genomes, Networks, Evolution), a research project involving the creation and evaluation of feature selection and machine learning methods, outlining the pros and cons of each when applied to identifying AML cases using DNA methylation data.
Android application for finding fun places nearby, based on certain charecteristics. A project for YHack 2017.
Available on the Chrome Web Store, Language Learner highlights words from the user's quizlet playlist in any webpage, so they can learn new vocabulary in context. Works across languages.
Proficient: Python, C/C++, Java, HTML/CSS, Ruby / Rails, Swift
Familiar with Node.js, JavaScript, React, SQL
If you have an opportunity you think I'd be interested in, or would like to chat, please reach out!