Matthew Davidow
Software Engineer at Google
New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Davidow is a software engineer with six years of experience applying machine learning and Bayesian/statistical methods to real-world problems, currently at Google in New York. With a PhD in Applied Mathematics from Cornell, he blends deep probabilistic modeling expertise with practical production experience from roles at Amazon Robotics and Citi. His work spans building ML-driven stowing algorithms, fraud-detection feature engineering, and applying parallel Bayesian optimization to tune complex systems. He values intellectual honesty and embraces uncertainty, favoring principled Bayesian approaches to uncover problem structure. Driven by “ML for good,” he focuses on projects that create beneficial impact while maintaining rigorous, data-driven decision making.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Cornell University
Github Skills (21)
large-language-models10
llm10
gpt10
gcloud9
testing7
hardware7
machine-learning7
gpu7
google-cloud6
modular6
gaussian5
deep-learning5
checkpoint5
pytorch5
tpu4
Programming languages (3)
Github contributions (5)
AI-Hypercomputer/maxtext
Apr 2023 - Apr 2025
A simple, performant and scalable Jax LLM!
Contributions:762 reviews, 276 PRs, 1277 pushes in 1 year 11 months
gptlarge-language-modelsllm
gobbleturk/FAMD
Apr 2021 - Feb 2022
Contributions:6 pushes in 11 months
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