Professional Experience

Spotify Inc.

Oversee and mentor 7 frontend, backend, and machine learning engineers
Supervise delivery for 4 project teams focused on backend, frontend, and ML deliverables
Manage ongoing migration of technical stack from Ruby on Rails monolith to microservice infrastructure

Oversee and mentor a team of 6-8 fullstack and native engineers.
Ship apps to 10s of millions of users on 8 TV and gaming platforms, including Playstation and Google Chromecast
Conduct extensive hiring and outreach for full-time hires and contractors.
Improve team eNPS and OfficeVibe scores significantly
Work with diverse stakeholders - product, marketing, legal, communications, business development, design, and numerous technical teams - to road manage Spotify on Apple TV from start to finish
Co-facilitate a number of department-wide hack days and hack weeks

Oversee and mentor 14 web, iOS/tvOS, and Android engineering and QA professionals.
Lead various company-wide initiatives, guided technical excellence across projects.
Architect and contribute iOS technical fixes
Liaise with clients, QA, development, design, project managers, and executives.
Assist with extensive company hiring and outreach.
Chief technical client contact and technical lead in implementing streaming subscription service for a well-known broadcaster.
Lead technical direction and work with project manager to manage an agile four-platform team of up to 15 developers.

Adapt, port, and rewrite iOS Siri UI for initial release on macOS Sierra
Create daemons and services to interface with system APIs in executing various voice commands

Create and improve international APIs, language models, input methods, autocorrection, and keyboards for 50+ languages.
Present twice at Apple Worldwide Developer Conference on Internationalization and related APIs
Develop widely-used, public-facing name formatting APIs
Create a low-level tool to update ICU timezone database over the air
Develop web APIs and Social framework tie-in to OS-based social sharing
Write concurrent, python-based pipeline to generate language models

Engineer, optimize, and streamline software for use in parsing international multilingual address data.
Mine, clean, and index Chinese-langauge Wikipedia address data
Create an autocomplete plugin to coordinate multiple form fields on the Oracle.com signup page

Stanford University, Stanford, CA USA, June 2010
- B.A.S., Symbolic Systems – Natural Language Focus
- B.A.S., East Asian Languages and Cultures – Chinese Focus
Oxford University, Oxford, UK, Jan - Mar 2010

Proficient: Swift, Objective-C, Javascript, Python, *NIX, bash, HTML/CSS, Git/SVN/CVS
Familiar: C/C++, Perl, SQL(MySQL, PostgreSQL, SQLite), React, Redux, Ruby, Rails
Acquainted: Java, PHP, LATEX