About Me

Hello and welcome! I am currently working as a software engineer at Meta. I graduated from the School of Computer Science at Carnegie Mellon University with a bachelor's degree 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 résumé and CV .

Projects & Work Experiences

Work Experiences

Software Engineer
Meta (June 2022 - present)

Software Engineer Intern
Splunk (June 2021 - August 2021)

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

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


Neural Zeroth-Order Optimization: Empirical Study and Insights
CMU Machine Learning Department (August 2021 - May 2022)

- Under SCS Honors Thesis Program, explored zeroth-order (derivative-free) optimization techniques that (1) make no assumptions about underlying objective function (2) require few queries to the (potentially noisy) zeroth-order oracle, (2) scale well to higher-dimensions with minimal computation between queries.
- Advised by Prof. Pradeep Ravikumar and Arun Suggala.

Adversarial Robustness via Model Ensembles
CMU Machine Learning Department (October 2020 - May 2021)

- 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, investigated the effects of using weighted ensembles of classifiers on the advesarial robustness of deep neural networks, specifically in image classification tasks.

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 Spring 2022 semester.


Tartan Hacks

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