Ryan Moelter

Fully native Android and iOS apps with a Kotlin/Java GraphQL back end. The apps aim to reduce financial stress between friends by easily calculating exact splits on meals, trips, and more. The Android app is fully Kotlin built on a custom open-source navigation framework, and the iOS app is fully SwiftUI. Both prioritize user experience and polish, balancing form with function. The back end is Kotlin/JVM, built on a microframework (http4k) focused on simplicity and speed.

The app is currently available on the App Store and Play Store.

A fully native Android app for accessing all of Headspace's content. I worked on various parts, including rewriting the homepage to make it simpler and easier to use based on user feedback, improving the technical infrastructure to make it easier to maintain, and setting the technical direction on the team to help the code from multiple distinct teams blend seamlessly.

This is an Android client for all of Wealthfront's offerings, including investment management, cash account, and financial planning. I collaborated with a team of five to fifteen people over the four years I was there and worked on most parts of the app, from writing new features to updating and refactoring aging infrastructure. I recently kick-started the design system team to standardize our UX and UI across our growing app on all platforms (Android, iOS, and web).

A cross-platform mobile app to help people form and maintain new habits. The app focuses on gentle positive reinforcement of a new habit rather than adding stress to an already stressful goal. It is my first foray into multi-platform development and a continuation of my experience designing for Android and iOS. It's a hobby project but will be published in the App Store and the Google Play Store soon.

For my capstone project in college, we were tasked with creating a wearable stress tracker, both the hardware and software. Our prototype relied on three biosignals that we decided to use based on the available research:

• Heart rate variability: the difference in heart rate between breathing in and breathing out
• Galvanic skin response: also known as skin conductivity, or how much sweat is present
• Electromyography: how tense particular muscles are

The prototype was a functional Arduino board with all the necessary sensors and analyzed the data through a connected laptop. I also learned a lot as the team's elected leader.