VSCode extensions to improve developer velocity used by many Google iOS engineers

Canonical iOS Account Management Service used in Google iOS applications

Bazel Starlark-based dependency injection framework used in all Google iOS applications

(Deprecated) Swift dependency injection framework

Specialization in SOLID principles, app architecture, and developer ecosystem.

Pet Project:

Typescript-based Univeral React on a Go API Backend

Test-Driven DevOps Infrastructure using Chef, Test Kitchen

Standardized Test Timer:

Founding Team / 1st Employee, participated in the Stanford-Affiliated StartX accelerator program

React Native App:

● React Native Application with Redux Flux Implementation

● Deployable applications for both Android and iOS

Lead iOS Engineer:

● Written in Swift 2, protocol-oriented programming leveraging functional programming principles on a MVCVMS design

● Supports 2-Factor Authentication via Twitter's Fabric Digits

● Personalized and Actionable Sign Up Links using Branch Metrics

● Minimizes computation on the UI thread, hereby creating an extremely responsive UX

● Uses both state-based and constraint-based layout placement for smooth animations even during heavy CPU usage

● Uses AutoLayout and Storyboard

● Deep linking and full-featured Push Notification Support

● AWS S3 integration for profile image uploading

● 5 Star Rating

● Used natural language processing to identify and structure 6,000+ recipes from 40,000 thread posts

● Created a full-stack recipe feature (with superuser management functions) on a home-brewed MVC PHP framework

● Users can filter, contribute, and view recipes, and share recipes via Facebook, Twitter and Pinterest

● Used rich-snippet markup, created a sitemap, and used other techniques for Search Engine Optimization

● Used Redis to cache suggested food-related editorial articles

● Collaborated with the designer, sales, and editorial staff

Conducted research concerning the material properties of Indium(x)Gallium(1-x)Nitride, and modeled theoretical optimal power output of In(x)Ga(1-x)Nitride photovoltaic devices using PC1D software