Nicholas Jong is a Machine Learning Engineer in Seattle with a decade of experience building robust systems that bridge real-world data and production software. He blends deep research roots—from a PhD focus on learning algorithms—with hands-on engineering at Apple and Google, where he re-architected iOS text input and drove ML features for consumer products. Comfortable across languages and platforms (C++, Objective-C, Perl) he contributes to notable open-source projects like Apple’s Turi Create, adding image-processing support and improving supervised learning model diagnostics. Nicholas excels at synthesizing disparate components—algorithms, performance engineering, and user experience—into maintainable, secure systems that scale.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at The University of Texas at Austin
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Carnegie Mellon University
Turi Create simplifies the development of custom machine learning models.
Role in this project:
Back-end Developer
Contributions:3 releases, 3 reviews, 134 commits in 2 years 5 months
Contributions summary:Nicholas contributed to the core functionality of the Turi Create machine learning library by implementing features related to image processing and supervised learning models. They added support for palette (type P) PNG image files and incorporated validation-set statistics into the linear and logistic regression models. Furthermore, they fixed an issue with the validation-set statistics saved in the linear and logistic regression models.
Turi Create simplifies the development of custom machine learning models.
Contributions:116 pushes, 244 branches in 2 years 5 months
machine-learningmachine-learning-models
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Nicholas Jong - Machine Learning Engineer at Apple