Michael Brundage
Senior Staff Software Engineer at Meta
Kirkland, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Brundage is a Senior Staff Software Engineer and seasoned data scientist with three decades of engineering experience spanning startups, big tech, and NASA, now leading ML monitoring, stability, and explainability at Meta from Kirkland, WA. He architects fast detection and root-cause systems for training divergence and production model instability, blending deep statistical rigor (MS, Mathematics) with hands-on software delivery. Previously he shaped developer and supply-chain intelligence at Google, launched Amazon Go’s initial architecture, and contributed to Windows and Xbox engineering at Microsoft, demonstrating an unusual mix of product impact and low-level systems expertise. Michael is an active contributor to open-source time series tooling (notably improving Facebook Research’s Kats library), reflecting a practical focus on robust forecasting and anomaly detection. He also has a track record of mentoring technical leaders and inventing new approaches—holding dozens of patented ideas from computer vision work—making him equally comfortable with research, code, and organizational influence.
11 years of coding experience
22 years of employment as a software developer
MS, Mathematics, MS, Mathematics at University of WashingtonCalifornia Institute of TechnologyMidwest City High School
English, German
Stackoverflow
81reputation
3kreached
8answers
0questions
Github Skills (20)
python10
data-science10
pandas10
machine-learning10
time-series10
typehinting10
type-checking10
data-analysis10
pytorch9
forecasting9
forecast9
statistical-models8
jekyll6
liquid6
nodejs6
Programming languages (7)
Github contributions (5)
facebookresearch/Kats
Jun 2021 - Sep 2022
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:1 review, 141 commits, 5 PRs in 1 year 3 months
Contributions summary:Michael primarily contributed to improving the `kats` library by addressing Pyre type errors and enhancing the existing code base. Their work focused on fixing type hints, refactoring code, and improving the overall readability and maintainability of the project. The user demonstrated expertise in data analysis and model fitting, specifically within the context of time series analysis and the various detectors implemented in `kats`. The contributions included direct interaction with core data structures in `kats.consts`.
forecastingstatisticspythontime-series-analysisunderstanding
michaelbrundage/scikit-learn
Mar 2016 - Jan 2022
Contributions:5 pushes in 5 years 11 months
pythondata-sciencelearn-machine-learningmachine-learningscikit-learn
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