Rachel Lim
Member Of Technical Staff at OpenAI
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolRachel Lim is a Member of Technical Staff at OpenAI with 11 years of software engineering experience building reliable backend systems and developer tools. Based in the San Francisco Bay Area, she has contributed to major engineering teams at Google and Dropbox and helped improve the official openai-python library—adding CLI, fine-tuning features, progress metering, and refactors used by the wider API community. She combines academic roots from Stanford with hands-on product engineering, having taught and assisted in courses like Convex Optimization and CS106A. Known for pragmatic refactors and shipping improvements that simplify developer workflows, she focuses on applying technology to solve large problems and improve real-world outcomes. Not actively looking for new roles, she continues to iterate on tooling that makes ML and API integration more accessible.
11 years of coding experience
3 years of employment as a software developer
Singapore-Cambridge GCE Advanced Level, Singapore-Cambridge GCE Advanced Level at Raffles InstitutionBachelor's degree, Bachelor's degree at Stanford University
English, Chinese
Stackoverflow
480reputation
22kreached
25answers
0questions
Github Skills (17)
python10
apidoc10
api10
openai10
command-line-interface9
command-line9
cli9
fine-tuning8
tqdm7
iterator6
keras6
tensorflow-datasets6
sliding-window6
tensorflow6
pipeline6
Programming languages (4)
Github contributions (5)
openai/openai-python
Mar 2021 - Aug 2022
The official Python library for the OpenAI API
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 releases, 12 reviews, 15 commits in 1 year 5 months
Contributions summary:Rachel primarily contributed to the official Python library for the OpenAI API. Their work included enhancements to the progress meter functionality, as well as improvements to the command-line interface (CLI). The user added and updated the requirements for the project. Additionally, the user refactored code, updated the interface, and added features related to fine-tuning functionality.
python-libraryapipythonopenai-apimachine-learning
rachellim/tensorflow
Aug 2019 - Nov 2019
An Open Source Machine Learning Framework for Everyone
Contributions:4 pushes, 13 branches in 3 months
pythondata-sciencedeep-learningmachine-learningframework-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.