• Developed features to improve detection and mitigation of credit risk exposure across Square's Seller products. Including new product work, and reducing technical debt across internal infrastructure.
• Integrated with internal ML and real time event evaluation infrastructure for use cases across fraud and credit risk at Square.
• Developed integration with Apple's DeviceCheck service for Square POS, reducing repeat fraud from iOS devices on the platform.
• Designed and developed internal functionality to recover funds by offsetting hard connected Square account balances, in real time.
• Active participant in the Square engineering hiring pipeline, regularly conducting interviews with candidates.

• Designed and developed REST APIs using Node.js, and Express, with MySQL databases.
• Developed architecture for scalable deployments on AWS. Optimized applications for wide deployment and automatic configuration.
• Worked on an Angular SPA front end web application that interfaces with a REST API.
• Implemented new functionality on Windows 10 based system application using C++, including client side integration with REST APIs.
• Used PKI to implement secure authentication scheme and certificate installation procedure for IoT devices.
• Developed thorough unit tests, REST API tests, integration tests, and other tools to automate testing functionality of various applications. Including internal web based diagnostic tools.

• GPA 3.58
• Upsilon Pi Epsilon Honor Society
• Dean’s List Winter 2014, Winter 2015
• Study Abroad Program: Japanese Language — Keio University - Tokyo, Japan
• Study Abroad Program: Japanese Language and Culture — Sophia University - Tokyo, Japan

Jared

• Developed an open source chat bot for iMessage, written in Swift for macOS.
• Supports extensibility for additional commands to be added through a flexible plugin bundle design.
• Used technologies such as: AppleScript scripting library, contacts, Realm, NSBundle modularization, GCD dispatch queues.

Z Split

• Developed a split timer app for iOS and watchOS for release on the App Store as a submission for the WWDC 2016 student scholarship.
• Written entirely in Swift using modern frameworks.
• Used technologies such as: UIKit, auto layout, location services, MapKit, Core Data, notifications, key commands, WatchConnectivity, and WatchKit.