Tony Li
Senior Software Engineer, ML Workflows at Weights & Biases
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolTony Li is a Senior Software Engineer specializing in ML workflows, currently building production-ready tooling at Weights & Biases after six years shaping Siri NLU at Apple. With a physics and engineering-physics background from Stanford and Cornell and years of research modeling the early universe, he brings rigorous quantitative thinking to ML infrastructure and data workflows. He contributes to the popular wandb open-source platform, improving artifact management and public APIs to make model experimentation more reproducible and developer-friendly. Comfortable across backend systems, test automation, and data science, Tony combines research-grade analysis with pragmatic engineering to move ML projects from experimentation to production.
2 years of coding experience
14 years of employment as a software developer
Engineering Physics, Engineering Physics at Cornell UniversityPhysics, Physics at Stanford University
English
Github Skills (15)
artifactory10
api10
sdk10
artifact10
python10
apidoc10
artifacts10
testing10
wpgraphql9
repr9
wordpress-graphql9
graphql9
rep9
documentation8
machine-learning7
Programming languages (2)
Github contributions (3)
wandb/wandb
May 2024 - Apr 2025
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:313 reviews, 93 PRs, 1632 pushes in 10 months
Contributions summary:Tony contributed to artifact management and the public API of the `wandb/wandb` repository, which is an AI developer platform. Their work included ensuring artifacts preserve original project information when retrieved through the API and adding complete docstrings to public API functions and methods. They also implemented programmatic unlinking of artifacts via the SDK and fixed issues related to artifact deletion.
pythoncollaborationtensorflowhyperparameter-tuningcli
wandb/weave
Jul 2024 - Aug 2024
Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
Contributions:12 reviews, 4 PRs, 45 pushes in 17 days
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