I am a mobile developer, specializing in modern Android Native development. Other than mobile, I have experience with back end and front end web development. I graduated with computer science degree from Utah State University in 2016. Since 2014, I have been working in the industry, when I started working as a software technician writing automated UI tests for mobile devices. While still attending university, I took a competitive internship at a business accounting software company, where I worked on back end technology to generate investmet reports. After graduating with my bachelor degree, I worked on several highly utilized mobile apps, including iFit, Groupon and developing a point of sale system for Yum! Brands (Taco Bell, KFC, Pizza Hut). I currently live in Chicago, IL. In my free time, I like to cook, play guitar and play PC games. I am a big fan of public transit and urbanism and have advocated for better transit in Chicago.
A simple Node.js server backed by Firebase database to monitor the on-schedule performance of Chicago’s CTA Blue Line trains amidst the post-pandemic transit crisis in the city, used by Commuters Take Action
A Starlark (Python dialect) application for a home LCD screen to show the upcoming arrivals at a selected Chicago CTA L train station
A workaround application for Xiaomi’s Android implementation, which fixed a bug preventing certain notifications from being shown. Downloaded by 15k+ users and covered by several tech blogs, for example this article on xda developers
Contributed several units-of-measure definitions and unit tests to this widely used .NET library
A simple calculator-like Android application to help with money tracking in the Power Grid board game
While employed as a lab section leader for the Computer Science 1 course at Utah State University, I made a WinForms app that interacted with the Canvas API to extract grades into a spreadsheet format.
A Risk-like game written with C# and Universal Windows Platfroms. Part of a group project for the Software Engineering course at Utah State University. I contributed majority of the UI portion of the app.
Final project for Utah State University’s Artificial Intelligence class. This application simulates a busy roundabout intersection, and uses a minimax algorithm to schedule cars to enter the roundabout with the smallest possible wait time.