Zoe Papakipos
Software Engineer, Wearables at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolZoe Papakipos is a software engineer with 11 years of experience building AI-driven systems and a strong focus on safety and equitable design, currently working on wearables at Meta in New York. Her background spans research and engineering roles across Meta’s FAIR, Responsible AI, and GenAI teams, giving her a rare blend of research-grade ML expertise and production engineering. She contributes to open-source projects like AugLy and Vidgear, where she has improved testing, added augmentations, and modernized build and dependency management—work that highlights both ML/data-aug insight and solid DevOps skills. Zoe’s trajectory from internships and research at Brown and Yelp to senior roles at Meta shows consistent growth in tackling complex problems at scale. She pairs hands-on coding and package management chops with an ethical lens on AI, often surfacing practical improvements that make tooling more robust and reproducible. On top of technical depth, she brings cross-disciplinary experience from product design and startup building that informs pragmatic, user-centered engineering.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Brown UniversityThe Harker School
English, French
Github Skills (21)
dependency-management10
opencv10
package-management10
python10
image-processing10
setuptools10
video-processing10
ffmpeg10
data-augmentation10
360-video9
audio-processing9
computer-vision9
web-framework8
machine-learning8
app-framework8
Programming languages (2)
Github contributions (5)
facebookresearch/AugLy
Jun 2021 - Jul 2022
A data augmentations library for audio, image, text, and video.
Role in this project:
ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:6 releases, 232 reviews, 39 commits in 1 year 1 month
Contributions summary:Zoe primarily contributes to the `augly` library, focusing on image and audio data augmentations. Their work involves modifying and disabling image tests, raising tolerance for audio output matching, and adding example notebooks. The user also adds a new augmentation feature and improves existing functionalities, and increases the package version number. The user appears to be involved in improving the library's testing and example usage.
image-textdeep-learningmachine-learningaudiovideo
abhiTronix/vidgear
Nov 2021 - Nov 2021
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:6 reviews, 6 commits, 1 PR in 1 day
Contributions summary:Zoe primarily focused on updating the project's build and dependency management by modifying the `setup.py` file. These updates included adding, removing, and updating project dependencies, demonstrating a strong understanding of package management. The user also contributed by modifying the project documentation (HTML and CSS files) and code in core project files, indicating a broader involvement in project maintenance and potentially refactoring.
multithreadingpythonvideo-stabilizationwebrtc-videoyoutube
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