Jackie Chen

Carrboro, North Carolina, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Jackie Chen is a Computer Science senior at UNC Chapel Hill with a decade of software experience and internships at AWS and Ivy, where she worked as a research engineer intern. She contributes to open-source ML tooling—notably adapting random number generation across PyTorch, TensorFlow, JAX, and NumPy in the ivy project—bridging framework differences in backend implementations. Comfortable across backend systems and research code, she focuses on practical interoperability and reproducible examples. Based in Carrboro, NC, Jackie blends industrial internship experience with sustained open-source contributions and a playful GitHub presence that hints at creative curiosity.
code10 years of coding experience
bookComputer Science, Computer Science at Enloe High School
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of North Carolina at Chapel Hill
languagesEnglish, Chinese, Japanese, French
stackoverflow-logo

Stackoverflow

Stats
97reputation
7kreached
4answers
1question
github-logo-circle

Github Skills (19)

ivy10
pytorch10
python10
numpy10
tensorflow10
jax10
converter9
machine-learning9
deep-learning8
transpiler8
transcode8
google-plus6
jekyll6
github-pages6
alsa6

Programming languages (6)

TypeScriptJavaCJavaScriptHTMLPython

Github contributions (5)

github-logo-circle
ivy-llc/ivy

Jun 2022 - Nov 2022

Convert Machine Learning Code Between Frameworks
Role in this project:
userBack-end Developer
Contributions:29 reviews, 6 commits, 18 PRs in 5 months
Contributions summary:Jackie primarily contributed to the core functionality of the Ivy project, focusing on adapting and implementing random number generation across various machine-learning frameworks. Their commits included the modification of random number generation functions within multiple backend frameworks like PyTorch, TensorFlow, JAX, and NumPy. In addition, the user fixed examples and addressed minor issues in the documentation.
pythontensorflowframework-learningtemplatedata-science
CheezBallzPi/hyperspec-fcn

Jun 2017 - Jul 2018

Contributions:41 commits, 2 PRs, 32 pushes in 1 year 1 month
pytorchattention-layerrecognizefcndeep-learning
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.
Request Free Trial
Jackie Chen