Data Infrastructure

Tutored and graded Advanced Topics in Algorithms, Algorithms, Computer Systems, Data Structures, Computability and Logic, and Python Scripting.

Managed a team of six under professor supervision to develop and release Empress—a Python application that helps biologists understand how species coevolve.

Held Zoom information sessions on Git, GitHub, text editors, integrated development environments, best software engineering practices, and debugging tools.

Created a pipeline for testing, freezing, packaging, and signing the application using Pyinstaller and Github Actions.

Made key design and style decisions, managed GitHub issues and pull requests, led rigorous code review processes.

Worked as a backend software engineer on the company's restaurant management system. Worked on claims & refunds, revenue calculations, admin website, reports, and the company’s referral system. Used Java and NodeJS.

Implemented an algorithm to help reduce the number of latitude-longitude waypoints in the routing engine for self-driving cars. Used Java.

Developed metrics for monitoring the consistency of self-driving car constraints such as "do not take unprotected left turn" and "do not enter school area" between different services in Uber's self-driving platform. Used Go.