Joanna Bitton
Software Engineer at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJoanna Bitton is a software engineer with nine years of experience building reliable systems at the intersection of AI and infrastructure, currently working on red teaming for Meta AI in Seattle. She holds an MS in Computer Science from NYU and a BSCS from FAU, and brings hands-on expertise from internships and research roles that spanned NLP-to-SQL algorithms, CI tooling, and biomedical 3D-printing projects. Joanna contributes to open-source tooling—improving build processes and dependency hygiene in Facebook Research’s AugLy—demonstrating a focus on maintainability and reproducible workflows. Known for turning prototypes into products (a hackathon win at Ultimate Software) and for pragmatic DevOps improvements, she combines research-grade rigor with production engineering discipline.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at New York UniversityBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Florida Atlantic University
English
Github Skills (9)
environment-variables10
python10
ffmpeg9
dependency-management9
audio-processing8
text-processing8
build-automation8
cicd8
image-processing8
Programming languages (5)
Github contributions (5)
facebookresearch/AugLy
Jun 2021 - Jul 2022
A data augmentations library for audio, image, text, and video.
Role in this project:
Back-end Developer / DevOps Engineer
Back-end Developer / DevOps EngineerContributions:84 reviews, 37 commits, 39 PRs in 1 year 1 month
Contributions summary:Joanna made several contributions focused on improving the project's build process, dependencies, and overall maintainability. They addressed hardcoded paths, opting for environment variables to enhance flexibility and portability. The user also worked on ensuring the setup runs as expected by including necessary assets. Furthermore, the user updated dependencies for compatibility and addressed a code issue, leading to bug fixes.
image-textdeep-learningmachine-learningaudiovideo
jbitton/AugLy
Jun 2021 - Feb 2025
A data augmentations library for audio, image, text, and video.
Contributions:20 pushes, 14 branches in 3 years 9 months
image-textdeep-learningmachine-learningaudiovideo
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