Nick Felt
Member Of Technical Staff at OpenAI
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolNick Felt is a seasoned software engineer with 15 years of experience building scalable backend systems and polished front-end tooling, currently a Member of Technical Staff at OpenAI after a decade at Google. He led TensorBoard development and contributed to Nomulus, improving billing logic and type safety for a top-level domain registry used on Google Cloud. At DeepMind he served as a tech lead for human data collection on Gemini, bridging product needs with robust engineering for ML fine-tuning and evaluation. A Swarthmore graduate in computer science and mathematics, he combines rigorous analytical training with practical system design—from low-latency robotics controllers in research to production services at Google and Gmail experiments. He’s an active open-source contributor whose work spans UI usability improvements and backend correctness, demonstrating attention to both user experience and long-term maintainability. Colleagues value him for shipping reliable, well-tested solutions that quietly reduce operational friction.
15 years of coding experience
12 years of employment as a software developer
Menlo-Atherton High SchoolB.A. Computer Science and Mathematics, B.A. Computer Science and Mathematics at Swarthmore College
English, Chinese, Spanish
Stackoverflow
345reputation
12kreached
4answers
0questions
Github Skills (25)
javascript10
testing10
polymer10
object-oriented-programming10
ui-design10
java10
javas10
uid10
front-end-development10
refactor9
css9
billing-system9
refactoring9
html9
data-structures8
Programming languages (8)
Github contributions (5)
tensorflow/tensorboard
Oct 2017 - Jan 2023
TensorFlow's Visualization Toolkit
Role in this project:
Front-end Developer
Front-end DeveloperContributions:15 releases, 588 reviews, 301 commits in 5 years 4 months
Contributions summary:Nick primarily contributed to the front-end development of the TensorBoard visualization toolkit. They focused on UI improvements, such as formatting image loader step counts, implementing a control for server-side markdown rendering, and fixing issues with the appearance and layout of UI elements. These changes enhanced the user experience, and ensured that the UI correctly rendered and displayed data for the tool.
machine-learningtensorflowvisualization
google/nomulus
Mar 2016 - Oct 2017
Top-level domain name registry service on Google Cloud Platform
Role in this project:Back-end Developer
Back-end DeveloperContributions:132 commits, 4 PRs, 47 comments in 1 year 7 months
Contributions summary:Nick's commits focus on improving the domain name registry service, specifically by clarifying the logic for handling one-time versus recurring billing events within the cancellation and grace period processes. They've cleaned up the code by simplifying method overloading, enhancing type safety, and removing dependencies on brittle signals. The changes also include tests to ensure the stability of the billing functionality.
appenginegoogle-appservice-registrygcloudapp-engine
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