Jacob Davis is a Staff Software Engineer based in Zurich with 12 years of experience building search and document-understanding systems at Google, where he currently leads a seven-person team focused on improving how search ingests and interprets documents. He progressed from building entity-identification pipelines and converting parts of the search stack to TensorFlow to technical leadership roles that bridge applied ML research and production engineering. Jacob holds a Ph.D. in Mathematics from Carnegie Mellon and top honors from Cambridge, bringing rigorous analytical depth to practical machine learning problems. An active back-end open-source contributor, he has contributed to Oppia’s core platform features and tooling, reflecting a sustained interest in scalable educational software. Colleagues value him for turning complex algorithmic ideas into testable, shipped systems and for mentoring engineers across the ML-to-production lifecycle.
12 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Mathematics, 1st class honours, Bachelor’s Degree, Mathematics, 1st class honours at University of Cambridge
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at Carnegie Mellon University
A free, online learning platform to make quality education accessible for all.
Role in this project:
Back-end Developer
Contributions:37 commits, 34 PRs, 19 pushes in 2 years 4 months
Contributions summary:Jacob primarily worked on back-end code, contributing to the core functionality of the Oppia platform. Their commits include creating and testing the update state tests, modifying pre-publication messages in the exploration editor, and implementing a dialogue for commit messages in the state editor. The user also added functionality to allow editors to download earlier versions of an exploration as zip files and corrected a bug in the LogicProof interaction.
Contributions:5 PRs, 2 pushes, 2 branches in 1 day
python
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