Abigail Lee
Software Engineer at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolAbigail Lee is a software engineer with 10 years of experience building AI-powered infrastructure and applications, currently contributing to Meta’s Wearables AI and multimodal assistant efforts from Menlo Park. She holds a B.A. in Computer Science and Mathematics (Magna Cum Laude) from Bryn Mawr and is pursuing an M.S.E. in Robotics at the University of Pennsylvania, blending strong math foundations with robotics and ML engineering. At Meta she has rotated across data center infrastructure, integrity, and media foundations teams, shipping production services and tooling for large-scale AI systems. Outside of work she contributes to TensorFlow documentation and localization—recently translating a DCGAN tutorial into Korean—reflecting a rare combination of production engineering chops and attention to developer experience and accessibility.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at Bryn Mawr CollegeHigh School International Track Spanish Language Concentration, High School International Track Spanish Language Concentration at Hankuk Academy of Foreign StudiesMaster of Science - MS Mechatronics Robotics and Automation Engineering, Master of Science - MS Mechatronics Robotics and Automation Engineering at University of Pennsylvania
Korean, Chinese, English, Spanish
Github Skills (10)
anylanguage10
machine-learning10
localization10
lang10
deep-learning10
tensorflow10
translation10
documentation10
python9
jupyter-notebook9
Programming languages (3)
Github contributions (5)
tensorflow/docs
Jun 2019 - Jul 2019
TensorFlow documentation
Role in this project:
Technical Writer
Technical WriterContributions:7 commits, 1 PR, 8 comments in 29 days
Contributions summary:Abigail contributed to the documentation of a deep learning tutorial within the TensorFlow documentation repository. The commits involve adding and refining the Korean translation of the tutorial on Deep Convolutional Generative Adversarial Networks (DCGANs), which generates handwritten digits. The contributions include translating text, addressing comments, and adjusting formatting within the Jupyter Notebook files. This work focuses on making the tutorial accessible to a Korean-speaking audience.
deep-learningmachine-learningdeep-neural-networkstensorflow-tutorialstensorflow
tensorflow/docs-l10n
Jun 2019 - Jul 2019
Translations of TensorFlow documentation
Role in this project:Localization / Internationalization Specialist
Localization / Internationalization SpecialistContributions:7 commits in 29 days
Contributions summary:Abigail primarily contributed to the Korean language translation of the TensorFlow documentation, specifically for the DCGAN tutorial. Their commits involved adding and updating the Korean version of the tutorial's content, including modifying text, correcting print statements, and adjusting formatting. The changes reflect a focus on providing accurate and up-to-date translations of the documentation for the Korean-speaking audience.
translationstranslationtensorflow-tutorialstensorflowlocalization
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.