I have built a solid foundation in both software engineering and artificial intelligence during my academic career through classes and internships. I hope to utilize my strengths to bridge artificial intelligence with engineering.

Experience

2021 — NowAbnormal SecuritySoftware Engineer

2021 — Now

2019 — 2021AppLovinSoftware Engineer

2019 — 2021

San Francisco Bay Area

Created revenue models capable of predicting revenue for any subset of users with < 10% error on majority of users and < 5% error on users on high revenue/traffic app using Scala, Python, and Spark

Expanded and refactored app categorization to remove legacy system and increase coverage in ad serving

Analyzed and evaluated the impact of new ad serving systems on multi-billion dollar ad revenue stream

2017 — 2017Ai MasterMachine Learning Engineer Intern

2017 — 2017

Greater San Diego Area

Completed Kaggle Competition on Mobile Data to demonstrate real world application of machine learning

Implemented models like Linear Regression, Convolutional/Recurrent Neural Network using only Numpy/Scipy

Designed 10+ tutorials on machine learning models like SVM, Linear Regression, Gaussian Mixture Model

2016 — 2016ServiceNowSoftware Engineer Intern

2016 — 2016

Greater San Diego Area

Developed full stack implementation of attachments on ServiceNow platform using JavaScript, Jelly, and Java

Wrote script to safety convert all of ServiceNow clients’ databases to handle attachments

Enabled the ability to do cross database queries using Ruby and Puppet

2015 — 2015Intellisis CorporationSoftware Engineer Intern

2015 — 2015

Greater San Diego Area

Created scripts for CouchDB database interaction to stress test AWS server and couchDB databases

Built voice bio metrics lockscreen for Android

Created an audio mixer tool to create training examples for speech processing machine learning algorithms

Education

UC San Diego

Bachelor of Science (BS)

UC Irvine

Experience

Education

Bachelor of Science (BS)

Master of Science - MS