I'm currently a full-time engineer looking to broaden my professional network in the fields of Computer Science and Data Science. I am primarily interested in machine learning and how it can be used to improve education and mental health.

Experience

GitHubSoftware Engineer III

2022 — Now

New York, New York, United States

GitHub Copilot Coding Agent

GitHubSoftware Engineer II

2021 — 2022

San Francisco Bay Area

GitHubSoftware Engineer

2020 — 2021

San Francisco Bay Area

MicrosoftSoftware Engineer

2019 — 2020

San Francisco Bay Area

GoogleSoftware Engineering Intern

2018 — 2018

Mountain View, California

Worked as a Software Engineering Intern for Google's Publisher Quality Team

Engineered and integrated signals from manual URL reviews & flagging rules into a deep neural network

The deep neural network was one that attempted to predict if a certain site was safe to host ads on based on Google AdSense policies

Through experimentation and data analysis, I was able to increase the area under the Precision-Recall curve (used as a metric for performance) from 0.285 - 0.354

Constructed, unit-tested, and integration-tested a pipeline to reformat manual URL reviews such that they could be easily joined to one of Google Ads' central data structures; this data structure in particular is used for monitoring publisher behavior and content

Education

Duke University

Bachelor of Science in Engineering (B.S.E.) & Bachelor of Science (B.S.)

2015 — 2019

UCL

Bachelor of Science - BS

2017 — 2017

Herricks High School

2011 — 2015

Experience+4

Education

Bachelor of Science in Engineering (B.S.E.) & Bachelor of Science (B.S.)

Bachelor of Science - BS

Experience