Eric Gentry
Summary
🤩
RockstarEric Gentry is a machine learning engineer with a PhD in Astronomy and over a decade of research and industry experience building production ML for retail advertising and recommendation systems. He has driven privacy-safe ad measurement and reinforcement-learning driven dynamic ad personalization at Amazon, led video-embedding and auto-targeting efforts that enabled new ad formats, and now applies conversion modeling at Reddit. Comfortable bridging deep research and engineering, he has a strong background in multi-modal embeddings, bandit-based bidding, and scalable scientific computing from his grad work on astrophysical simulations. An active open-source contributor and technical writer for prominent projects like JupyterLab, he enjoys mentoring engineers and developing FOSS and indie games on the side. Notably, his career blends high-performance distributed simulation experience with practical ML deployments that delivered measurable business impact.
4 years of coding experience
Github Skills (7)
rs10
restructuredtext10
jupyterlab10
documentation10
content-management9
content-management-system9
jupyter8
Programming languages (8)
Github contributions (5)
jupyter/jupyter
Apr 2023 - Dec 2024
Jupyter metapackage for installation and documentation
Role in this project:
Technical Writer
Technical WriterContributions:17 reviews, 13 PRs, 6 pushes in 1 year 7 months
Contributions summary:Eric primarily contributed to documentation within the Jupyter repository. Their commits focused on updating and expanding the glossary, including adding definitions, revising formatting, and adding external links. They also corrected typos, improved casing, and addressed link formatting. Further contributions included updates to the user interfaces and content contributor documentation.
jupyter
jupyterlab/jupyterlab
Jan 2023 - Jan 2023
JupyterLab computational environment.
Role in this project:Technical Writer
Technical WriterContributions:19 reviews, 1 commit, 8 PRs in 1 day
Contributions summary:Eric's contributions primarily focused on updating and refining the documentation for JupyterLab. They made revisions to the homepage, interface descriptions, and extension compatibility guides, and corrected typos. The user also integrated new links and updated existing ones, enhancing the overall clarity and organization of the documentation.
jupyterlabjupyter
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.