• Conducting research in Algorithmic Game Theory, specifically in the subfield of Fair Division• Studied popular notions of fairness and examined existing algorithms• Developed new algorithms to deal with novel problem settings• Work to appear in Symposium on Algorithmic Game Theory (SAGT) 2023

• Analyzed accelerometer data using Fast Fourier Transform (FFT) to estimate vibration frequency of bridgeS to label training data.• Implemented Gaussian Noise Data Augmentation to expand training dataset and make learning model more robust to noise.

- Helped over 100 students with code debugging and conceptual doubts- Organized labs to teach C++ concepts to students

- Developed SMS-based information service for students in India without internet access- Implemented Named-Entity Recognition and Rapid Keyword Extraction using NLTK- Created a webscraper to extract relevant information from webpages- Used Latent Semantic Analysis for Automatic Summarization of extracted information

- Implemented components for web application in React.js and server-side rendering using webpack and Babel- Created browser service worker to implement precaching using Workbox- Re-implemented existing React components in Next.js

- Developed mobile app to help micro-merchants keep track of credit borrowed by customers- Implemented frontend components in React Native, navigation between screens using React Navigation,and state management using Redux- Implemented asynchronous data-fetching using Redux Saga- Created and deployed backend using Node.js, Express.js, and MongoDB