• Hired to bring new rich UI presentation capabilities to PayPal Assistant (AI) on Android.

• Improved in-app help article rendering of text, images, and videos to match their intended presentation.

• Performed refactoring to align codebase with Android recommendations, setting standards and improving maintainability.

• Maintained a high standard of test coverage.

Founder. Engineered and launched a web app from 0 to 1 that helps groups vote on where to eat. Designed to be faster than conversation with no signup step and real-time updates to the ballots via long polling. Uses true REST with HATEOAS and server-side rendering (SSR) enabled by HTMx and Jinja. Responsive design seamlessly supporting mobile and desktop environments.

Prompted, reviewed, and edited LLM code output in Python, Java, Kotlin, C#, and C++. Verified code performance, functionality, and readability, and researched any natural language claims made by the models. Corrected any falsehoods or bugs to ensure the highest quality output possible. I was also entrusted with reviewing the work of others.

Developed a mobile physics game about flying an air balloon in Unity and C#. Made heavy use of async-await to enable scripting of complex sequences of asynchronous events in a readable and maintainable way. Designed a suite of entertaining tutorial levels to teach the basics of hydrogen ballooning.

I developed a referral system that enabled the marketing team to give specific users promo codes to hand out. It then tracked the progress of their referrals and gave a cash reward to both the referrer and referee once the referee was sufficiently engaged in the platform. The feature was completely stable from launch. I also drafted a flowchart of the REST API usage to help the frontend engineers in their implementation, saving them valuable time.

I implemented the automatic payment splitting backend, automating the case of when a company pays a talent agency, which then uses that payment to pay its talent, streamlining the user experience.

I unified two separate web app backends with separate user models to simplify future design and development. This involved the analysis and redesign of large swathes of the database, REST APIs, and business logic. This kind of project is very risky, but it turned out successful, and I completed my parts with zero bugs.

I took it upon myself to further free up engineering time by writing a program that uses the Asana API to compare the rate of task creation against task completion within a milestone to predict a final completion date for the milestone. I tried various prediction methods using all the points along a milestone's development as test data before settling on the most accurate method. This program eliminates the need for engineers to spend time making estimates.