Daniel Freeman
Summary
🤩
RockstarDaniel Freeman is a software engineer and Member of Technical Staff at Anthropic with a Ph.D. in Physics from UC Berkeley and five years of industry experience at Google focused on AI research and engineering. He blends deep theoretical expertise in quantum information and condensed matter with practical software skills, having built Monte Carlo simulations and derived analytical error rates for quantum error-correcting codes. Transitioning into machine learning theory, he explores training methods and expressive power of deep networks while contributing to high-profile open-source projects such as Google’s BIG-bench where he improved testing, parsing, and logging infrastructure. Based in Berkeley, he combines rigorous academic research, hands-on backend engineering, and test automation to tackle reliability and performance challenges in cutting-edge AI systems. An uncommon strength is his ability to translate complex physical models into robust, production-oriented code.
5 years of coding experience
Github Skills (9)
python10
testing10
test-automation9
unit-testing9
api8
apidoc8
nlp7
natural-language-processing7
machine-learning7
Programming languages (2)
Github contributions (5)
google/BIG-bench
Jan 2021 - Aug 2022
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:83 reviews, 160 commits, 50 PRs in 1 year 7 months
Contributions summary:Daniel primarily focused on improving the testing infrastructure and refining existing code within the `google/big-bench` repository. Their contributions involved removing unnecessary initialization files, tidying up debug code, and updating test functions. They also corrected bugs and enhanced the human model by adding logging. Additionally, the user worked on file formatting and ensured correct parsing of data within the system.
language-model
cdfreeman-google/jax
Apr 2021 - Apr 2021
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Contributions:2 pushes in 1 day
pytorchpythonjitgpunumpy
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.