Laura Pak
Software Engineer at Google
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolLaura Pak is a software engineer based in the San Francisco Bay Area with a decade of professional experience and a B.S. in Computer Science from UT Dallas. Currently at Google, she focuses on backend systems and has contributed shape-management improvements to the flagship TensorFlow repository, demonstrating deep familiarity with tensor manipulation and robust kernel code. A self-motivated learner with interests in machine learning and app development, she pairs research-grounded NLP experience and practical cloud-hosted application work. Past internships include building a Java Spring Boot dashboard at J.P. Morgan that streamlined reporting and saved management time, showing an eye for measurable impact. She also has hands-on tutoring and research experience that reflect strong communication and data-cleaning rigor. Colleagues can expect a diligent engineer who bridges production backend reliability with ML-focused code contributions.
10 years of coding experience
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at The University of Texas at Dallas
Github Skills (10)
c-language10
tensorflow10
cprogramming-language10
back-end-development10
python10
machine-learning9
deeplearning-ai9
deep-learning9
neural-network8
deep-neural-networks8
Programming languages (2)
Github contributions (5)
tensorflow/tensorflow
Jan 2021 - Jan 2023
An Open Source Machine Learning Framework for Everyone
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 217 commits, 13 PRs in 1 year 11 months
Contributions summary:Laura primarily focused on updating shape-related functions within the TensorFlow codebase. Their work involved replacing calls to `AddDim` with `AddDimWithStatus` across multiple files, including those related to kernel operations (e.g., `batchtospace_op.cc`, `set_kernels.cc`). These changes indicate a shift towards more robust shape management within the framework, specifically related to functions using `OpKernelContext`. Furthermore, the commits demonstrate a strong understanding of tensor shape manipulation.
pythondata-sciencedeep-learningmlmachine-learning
pak-laura/HackRice7
Sep 2017 - Sep 2017
Contributions:23 commits, 1 PR, 28 pushes in 2 days
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.