Aug 2019 – Jul 2020 · 11 mos · San Francisco Bay Area

May 2018 – Aug 2018 · 3 mos · 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

Jul 2017 – Nov 2017 · 4 mos · Greater Los Angeles Area

• codeConnects - an initiative by The Coding School - is an online platform that offers one-on-one computer science instruction to underrepresented middle and high school students by pairing each student with a professional software engineer or university student majoring in computer science
• Created lesson plans for git usage, arithmetic & logical operations, conditions & control flow, loops & iterative thinking (including basic recursion), and function types & use cases

Jun 2017 – Aug 2017 · 2 mos · Newark, New Jersey

• 1HUDDLE is a B2B SaaS company, funded by 500 Startups and Newark Venture Partners, that gamifies employee training
• Offers an enterprise-based mobile training platform that allows employees to conveniently train anytime, anywhere
• Communicated with 1HUDDLE's back-end development team regarding drawing up extensive wire-frames for future features, deployed cold outreach ad campaigns that utilized growth marketing techniques to add leads to the sales pipeline, and developed landing pages to capture new leads

Jan 2017 – May 2017 · 4 mos · Raleigh-Durham, North Carolina Area

• Chosen as a peer tutor for Computer Science 201: Data Structures & Algorithms (CS 201) through university's peer tutoring program because I displayed proficiency while enrolled in the class
• Assigned 3 students to help develop a proficiency in Java
• All assigned students improved by at least a letter grade by the end of the semester

Aug 2016 – Dec 2016 · 4 mos · Raleigh-Durham, North Carolina Area

• Chosen as a teaching assistant for Intro to Engineering: Computational Methods (EGR 103) because I displayed proficiency when enrolled in the class
• Assigned a group of students to help develop a proficiency in MATLAB and LaTeX
• All assigned students finished the class with at least a 93/100
• Held office hours for any of the 200+ students enrolled in the class to come to