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.
10 years of coding experience
Computer Science, Computer Science at Enloe High School
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of North Carolina at Chapel Hill
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.
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.