| layout | name | location | phone | website | github | |
|---|---|---|---|---|---|---|
resume.liquid |
Hal Lee |
Brooklyn, NY |
+1 (555)-555-5555 |
hal@lee.me |
hal.codes |
hallee |
- Created a fully-featured multi-platform iOS, iPadOS, and macOS app using Swift, UIKit, and Catalyst
- Built a multithreaded and reactive network stack using Combine and URLSession for fetching RSS feeds
- Architected an RSS feed directory server backend using Vapor (Swift) and PostgreSQL, containerized and deployed on AWS ECS
- Began development before Apple released “Portrait Mode” and achieved a bit of early success since the app worked even on older, single-camera iPhone models
- Designed and trained a custom deep neural network for semantic segmentation of images
- Ported Berkeley’s Caffe C++ framework to iOS for inferencing on device—this was before Apple released their Core ML framework and associated tooling
- Created a GraphQL API client package used by both qz.com and iOS that automatically generates TypeScript and Swift typed queries from a shared set of GraphQL queries
- Built developer tooling to improve the development experience for qz.com’s React application including a GitHub Action to analyze the impact of pull requests on client JavaScript bundle sizes
- Introduced TypeScript to qz.com’s React application and helped convert existing JavaScript
- Led development of an all-new, member-focused news app for Quartz based on a new GraphQL API
- Implemented an automated deploy pipeline triggered by pull requests based on Fastlane and GitHub Actions
- Created a custom push notification CMS for our editors as a WordPress plugin
- As the sole iOS developer at Quartz, added features to the Quartz Brief app including an augmented reality object viewer and interactive notifications
- Worked with a small R&D team developing proof-of-concept computer vision software on the Nvidia TX1 embedded GPU platform for moving object detection and tracking using deep neural networks