Jonas Jongejan
Member Of Technical Staff at Anthropic
New York, New York, United States
Summary
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RockstarJonas Jongejan is a creative technologist and full‑stack engineer with 15 years of experience building interactive, ML-enabled web experiences and tooling. Currently a Member of Technical Staff at Anthropic, he previously led engineering and creative work at Google Creative Lab, shipping projects like Teachable Machine and Quick, Draw. He blends front-end UX polish with back-end and ML engineering—contributing to openFrameworks documentation and machine‑learning browser projects such as Teachable Machine (including MobileNetV2 work). As CTO and technical lead at startups he has taken products from prototype to production in areas including clinical trial matching and generative image tooling. Based in New York, he runs a longstanding freelance practice (halfdanj.dk) and is known for turning experimental ideas into tangible, well-documented developer experiences.
15 years of coding experience
17 years of employment as a software developer
Danish, English
Github Skills (22)
javascript10
c-language10
python10
css10
tensorflowjs10
machine-learning10
user-interface10
ui-design10
graphical-user-interface10
openframeworks10
uid10
mobilenet10
front-end-development10
html10
computer-vision10
Programming languages (17)
Github contributions (5)
googlecreativelab/teachable-machine-boilerplate
Dec 2017 - Oct 2018
Boilerplate code for Teachable Machine
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:13 commits, 1 PR, 7 pushes in 9 months
Contributions summary:Jonas's commits primarily focused on initial setup and version updates within a boilerplate project for Teachable Machine. The changes involve modifications to JavaScript files (`dist/build.js`, `main.js`) suggesting both front-end and potentially back-end (or build process) involvement. The updates include a new version of `deeplearnjs`, indicating involvement with the machine learning aspects of the project, aligning with the repository's focus.
templateboilerplateteachableboilerplate-codedeeplearnjs
googlecreativelab/teachable-machine-v1
Oct 2017 - Sep 2021
Explore how machine learning works, live in the browser. No coding required.
Role in this project:Front-end Developer
Front-end DeveloperContributions:15 commits, 4 PRs, 13 pushes in 3 years 11 months
Contributions summary:Jonas primarily focused on enhancing the user interface and overall user experience of the Teachable Machine project. Their contributions included implementing new UI elements, such as a flip camera button and a sharing notice, and addressing visual issues within the interface. They made adjustments to the recording functionality, incorporating download and sharing options, and fixed various event listener issues to ensure correct UI behavior. Furthermore, the user modified the UI elements of the FAQ and Launch screen to improve user engagement.
no-codingmachine-learningbrowserexplore
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