- M.S., Computer Science (Concentration in Data Science) | University of Massachusetts Amherst(December 2023)
- B.Tech., Information Technology | Vellore Insititute of Technology (June 2016)
Software Engineer, OpenReview (February 2024 - Present)
- Assisting in the enhancement and upkeep of OpenReview APIs and Frontend.
- Created a Python script to analyze user data, identify duplicate profiles, and developed a mechanism for merging profiles automatically on the OpenReview platform, resulting in the detection and resolution of 700 duplicate profiles, thereby mitigating impersonation risks on the platform.
Data Science Intern @ Microsoft (January 2023 - February 2023)
- Converted a proprietary testing tool used for testing IVRs and chatbots built using Nuance Mix, to an open-source project, allowing anyone to use and contribute to the tool.
- Developed CI/CD pipelines, improved test coverage, and built a community for the tool.
- Github Link
Software Engineer @ JPMorgan Chase & Co (August 2020 - January 2022)
- Led platform initiatives like UI uplift which helped in improving the performance and consistency of the Chase and JPM Android apps by making updates to close to 50,000 lines of code.
- Developed and deployed scripts to monitor API performance (helped spot 15 potential P1 incidents in the first month), and improved monitoring metrics.
- Developed scripts that retrieved feature flag data from a database and wrote it to CSV files, allowing the team to archive more than 40 flags that were not archived.
- Awarded the Transformer award for outstanding delivery and performance demonstrated during the projects.
Software Engineer Intern @ JPMorgan Chase & Co (January 2020 - June 2020)
- Developed a python script that integrated with Android SDK tools to stress test the Chase and JPM apps and find potential crashes.
- The script also recorded videos of crashes to speed up debugging process. The script helped improve stability percentage from 99% to 99.5%.
- Awarded the Guards of the Fort award for the initiative.
Implemented and evaluated data augmentation techniques for improving translation of low-resource programming languages in collaboration with IBM Research. Synthesized data using back-translation to counter the lack of training data.
A text style transfer application that transforms a given text into the style of Shakespeare. The project used the T5-base transformer which was fine-tuned on a non-parallel dataset using inverse paraphrasing (Krishna et. al, 2020)
A puzzle game with the primary goal of imparting fundamental optics concepts to children, it involved solving puzzles that required the strategic arrangement of mirrors and lenses to precisely guide light in the intended direction. The game was written in C# and developed using the Unity Game Engine.
- Teaching Assistant, COMPSCI 515 - Algorithms, Game Theory, and Fairness, Fall 2023
- Teaching Assistant, COMPSCI 514 - Algorithms for Data Science, Spring 2023