Gant Laborde
Chief Innovation Officer
Metairie, Louisiana, United States
Summary
🤩
Rockstar🎓
Top SchoolGant Laborde is Chief Innovation Officer at Infinite Red with over 20 years of software engineering, entrepreneurship, and education experience, currently leading a distributed team that builds web and mobile products. He blends hands-on mobile and full‑stack engineering—contributing to flagship projects like React Native, Reactotron, Ignite, and TensorFlow.js—with strategic leadership in product and developer experience. A Google Developer Expert, Microsoft MVP, and Cloudinary Media Developer Expert, he has a proven track record shipping low-level tooling improvements (React Native CLI linking, Windows support) and developer-facing desktop and CLI tools. Gant is also deeply involved in ML and on-device safety work, training NSFW detection models and integrating TensorFlow.js demos into client-side UX. A prolific teacher and communicator, he amplifies his impact through books, courses, podcasts, and frequent conference talks. Based in Metairie, Louisiana, he describes himself as an outlandish philosopher turned mad scientist—curious, research-driven, and dedicated to empowering the developer community.
14 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of New Orleans
English, Spanish
Stackoverflow
6,624reputation
620kreached
48answers
12questions
react-native
top-1%
encryption
top-5%
obfuscation
top-5%
Github Skills (90)
mobile-development10
windows10
templater10
ruby10
android-developer10
web-development10
rubymotion10
javascript10
file-manipulation10
tensorflowjs10
gui-application10
desktop-application10
computer-vision10
typescripts10
cli10
Programming languages (20)
Github contributions (5)
infinitered/nsfwjs
Feb 2019 - Sep 2022
NSFW detection on the client-side via TensorFlow.js
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:9 releases, 5 reviews, 274 commits in 3 years 7 months
Contributions summary:Gant contributed to the initial setup and development of the NSFWJS project. They started by setting up the base model structure, including file imports and class definitions. The user implemented core functionality by integrating TensorFlow.js and the NSFW classes, focusing on image normalization, resizing, and prediction. They then added a demo showcasing the project's capabilities with a React-based user interface, including UI/UX improvements and webcam integration for real-time NSFW detection.
nsfw-detectiontensorflowjsclient-sidemachinelearningnode-module
GantMan/jail-monkey
Jul 2016 - Apr 2021
A React Native library for identifying if a phone is rooted or mocking locations
Role in this project:Mobile Developer (Android/iOS)
Mobile Developer (Android/iOS)Contributions:1 release, 74 commits, 35 PRs in 4 years 9 months
Contributions summary:Gant primarily contributed to the development of a React Native library, `jail-monkey`, designed to detect if a device is jailbroken or mocking locations. Their work involved creating the native Android module, implementing jailbreak detection methods, and integrating the native modules with the React Native codebase. Furthermore, the user added functionality to detect if the app is installed on external storage and provided utility methods to assess the device's security posture.
mock-locationsreactphonereact-native-libraryreact-native
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