Allen Yang

Meta - Software Engineer

Burlingame, CA, August 2022 - Present

I developed automated programs and frameworks in Python in order to improve the health and reliability of the Smart Glasses multi-device end-to-end core functionality testing infrastructure. I also wrote and improved upon robust end-to-end stress stability tests in the Jest framework that automate Smart Glasses, Android Phones, and iPhones in order to provide an accurate signal for software regressions. In addition, I drove XFN collaboration with various Smart Glasses feature teams to ensure a smooth launch for Ray-Ban Meta by catching more than 10 regressions and bringing the end-to-end stability to 98%, and I am currently engineering a comprehensive method to utilize test and device logs to automatically triage test failures to the appropriate team, thus reducing manual efforts.

Capital One - Technology Internship Program

Virtual, June 2021 - August 2021

I expedited the emergency authorization process of AWS production account access by writing and systematically testing APIs that manage the authorization of urgent access requests. This reduced AWS production account access-granting latency from 10 minutes to 1 minute. Python was used for writing APIs and AWS Lambda for deployment

Synchrogrid - Software Engineering Intern

College Station, TX, January 2020 - August 2020

I implemented a fault simulation and visualization feature in React.js that allowed business clients to simulate power grid faults. This feature utilized D3 in order to allow clients to visualize fault graphs. The internship was part-time from January to May, then full-time from May to August.

Disaster Prediction Research

College Station, TX, August 2020 - December 2020

I prepared over 50 GB of Hurricane Harvey data for supervised learning by cleaning and extracting necessary information from the data I then trained KNN and SVM models on them in order to compare different models' accuracy when predicting regional flood damage. The preparation & training was performed using multiprocessing on Azure Virtual Machine.

Time-Series Forecasting Research

College Station, TX, January 2020 - April 2020

I researched time-series forecasting and anomaly detection by training Keras LSTM models on swimmer motion data.

TravApp

2019

A web application that helps users manage their travel plans in a very simple manner. Helps those who are inexperienced with travelling.

React.js Node.js/Express.js MySQL SCSS Bootstrap 4

Reversi: Oblique

2019

A desktop application that lets the user play modified Reversi, allowing for both singleplayer with an AI and multiplayer through LAN. The AI utilizes the Minimax Alpha-Beta algorithm with a max depth of 7.

Java JavaFX

Luggage Scanner

TAMUhack - 2020

An android application that registers luggage for an airline, allowing for it to be scanned into a server and its location to be tracked.

Node.js/Express.js

Corps Guardroom Service

HowdyHack- 2019

A website that improves an existing process at my university. The current process allows students to call an office in order for cadets at the ROTC program to walk them across campus at night; this makes that process electronic and gives greater control to both parties.

HTML5 JavaScript SCSS Bootstrap 4

Capital One Cares

HackDFW - March 2019

A website created during HackDFW whose purpose is to teach users about financial literacy, in which I was responsible for the frontend.

HTML5 SCSS Bootstrap 4

TheraTracker

TAMUhack - February 2019

An Android application created during TAMUhack 2019 that facilitates communication between therapist and client.

Java Android Studio Firebase