Daniel Pandori
Senior Software Engineer at Waymo
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Pandori is a Senior Software Engineer based in Mountain View with about four years of professional experience building production software at Waymo and prior engineering roles at Google and FAR AI. He brings a practical blend of software engineering and ML-focused contributions, including improving type safety, tests, and documentation for the HumanCompatibleAI imitation learning repository. Known for code quality and maintainability, he has a track record of fixing subtle bugs like shape mismatches in image environments and adding mypy annotations to support static analysis. Comfortable in both research-adjacent and production settings, he moves between refactoring, testing, and documentation to reduce technical debt. Outside work he enjoys puns and board games, a small hint of the curious, playful mindset he brings to problem solving.
4 years of coding experience
10 years of employment as a software developer
Burlington High SchoolBachelor's Degree Computer Science and Mathematics, Bachelor's Degree Computer Science and Mathematics at Pomona College
English, Japanese, Spanish
Github Skills (10)
mypy10
imitation-learning10
pytorch10
python10
testing10
gymnasium9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (3)
Github contributions (5)
HumanCompatibleAI/imitation
Oct 2022 - Nov 2022
Clean PyTorch implementations of imitation and reward learning algorithms
Role in this project:
ML Engineer
ML EngineerContributions:23 reviews, 21 commits, 17 PRs in 23 days
Contributions summary:Daniel primarily contributed to improving the codebase's quality and maintainability within a machine learning context. They focused on adding type hints to enhance static analysis using `mypy`, refactoring code, and fixing potential errors. Their contributions also involved writing tests for reward trainers and addressing shape mismatches in image environments, which supports the quality and correct functionality of the algorithms. Furthermore, they updated the documentation.
pytorchimplementationsreinforcement-learningcleanmachine-learning
dan-pandori/imitation
Oct 2022 - Nov 2022
Clean PyTorch implementations of imitation and reward learning algorithms
Contributions:45 pushes, 15 branches in 16 days
pytorchimplementationsmachine-learningcleanlearning-algorithms
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