Patrick Hulce
ML Architect at Netflix
Dallas, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolPatrick Hulce is an ML Architect with 13 years of engineering leadership experience who currently builds computer-vision, ML, and generative-AI solutions for film production at Netflix. He blends deep front-end and performance expertise—having led and maintained Lighthouse at Google and contributed Lighthouse integration to WebPageTest—with applied ML productization from founding and exiting an AI-driven photography startup. At Compass he drove company-wide frontend architecture, LLM and AI adoption, and saved millions via platform and cloud optimizations, demonstrating both technical breadth and business impact. A prolific open-source maintainer, his work on Lighthouse and widely used npm packages reaches millions of users and informs web performance best practices. Based in Dallas, he pairs C-suite collaboration and incubation experience with hands-on engineering across full stacks, browser tooling, and CV systems. Colleagues rely on him for pragmatic, production-first AI and performance solutions that scale across large organizations.
13 years of coding experience
14 years of employment as a software developer
Bachelor of Applied Science, Computer Science, summa cum laude, Bachelor of Applied Science, Computer Science, summa cum laude at University of Pennsylvania
English, German
Github Skills (43)
markdown10
lighthouse10
javascript10
web-vitals10
image-processing10
browser-extension10
css10
typescript10
user-interface10
ui-design10
chrome-extension10
chrome-app10
devtools10
web-performance10
php10
Programming languages (15)
Github contributions (5)
jpeg-js/jpeg-js
May 2017 - Feb 2021
A pure javascript JPEG encoder and decoder for node.js
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 releases, 13 reviews, 24 commits in 3 years 9 months
Contributions summary:Patrick made multiple contributions focused on improving the jpeg-js library. They fixed a bug in the decoder related to progressive JPEG handling, ensuring correct coefficient direction. They also implemented browser support, making the library usable in web environments. Furthermore, the user exposed exif buffers in the library, and added memory/resolution limits for decoding images.
node-jsjavascriptpsddecoderpure-javascript
patrickhulce/third-party-web
Jul 2018 - Sep 2022
Data on third party entities and their impact on the web.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:24 releases, 108 reviews, 192 commits in 4 years 2 months
Contributions summary:Patrick primarily contributed to the development of the project's codebase, focusing on the creation of data analysis reports and the design of the data-based content. They implemented new features to print homeless origins and primary report content, and also fixed layout and visual formatting problems. The user also made updates to the build process, by adding new SQL queries.
third-party-javascriptpartyanalysisjavascripthttparchive
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