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)

Research


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

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Safe Events

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

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

Application to assist autistic individuals with daily conversations.
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PyStocks

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

Honors & Awards


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Putnam Math Competition

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


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CMU SCS Dean's List

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


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Tartan Hacks

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