About Me

Hello and welcome! I am currently a junior in the School of Computer Science at Carnegie Mellon University pursuing a major in Computer Science with a concentration in Machine Learning and a minor in Philosophy.

Broadly, I am passionate about adapting machine learning techniques to fields like agriculture, with a focus on developing countries. I am specifically interested in machine learning robustness and optimization, as well as its intersection with game theory.

Here is my resumé .

Projects & Work Experiences

Work Experiences

Web Development and Support Lead
CS Academy (May 2019 - December 2019)

Research Intern
World Agroforestry Center (July 2016 - August 2016)


Refining Adversarial Training Methods using Game Theory
CMU Machine Learning Department (October 2020 - present)

- Contemporary training algorithms against adversarial risk rely on heuristics, often leading to lower-than-expected test accuracy.
- Under the mentorship of Prof. Pradeep Ravikumar and Arun Suggala, I am exploring ways of leveraging existing game theoretic          algorithms to improve the robustness of adversarial training methods.

Updates: #1 | #2 | #3 | #4 | #5 | #6 | #7 | Final


Safe Events

Event tracking application providing COVID-19 risk estimates using weekly localized data.

Dendrogram Generator

Pipeline to format and convert DNA marker information into dendrograms to better understand ancestry and assist in trait associations.


Application to assist autistic individuals with daily conversations.


Trading simulator that utilizes live stock/forex data to make intelligent predictions using stochastic models.

Honors & Awards


Putnam Math Competition

Placed in the Top 500 contestants during the 2019 William Lowell Putnam Mathematical Competition.


CMU SCS Dean's List

Recognized for academic performance, most recently for the Fall 2020 semester.


Tartan Hacks

Member of 4-person team awarded 'Best Social Welfare Hack' during Tartan Hacks 2019.