Michael Brundage Email & Phone Number

Menlo Park, CA, US

Technical Lead and specialized algorithms expert for Machine Learning Understanding, AI Monitoring & Observability in AI Infra. I'm responsible for solving model stability, debugging, and explainability for Meta — especially fast detection, diagnosis, and root-causing of loss divergence and other training stability issues in our experimental and production.

Menlo Park, CA, US

• I was a Research Data Scientist (Quantitative Engineer) in Meta's Infrastructure Strategy group, a job role that no longer exists. I particularly enjoyed mentoring and growing the next generation of data scientists and.
• executive level metrics for AI Infrastructure. I implemented the first-ever structured metrics reviews at AI Infra VP level.
• metrics and understanding for Ads Prediction Robustness. I proposed and created a "Revenue Loss Prevented" metric for ML snapshot validation which is now the APR top-line metric and resulted in additional RLP metrics.
• the open source time series library, Kats. I was (and last I checked, still am) the top contributor after its public release.
• misc projects for AI developer productivity, monitoring & observability; Ads Infrastructure; and Reliability Engineering.

Mountain View, CA, US

• Core Developer Intelligence. Applied machine learning, analytics, and data science to understand and improve engineer productivity across all of Google.
• Created predictive models for developer infrastructure
• Created Developer Intelligence metrics and dashboards. Our work was mentioned by Ruth Porat in a NYTimes Conference and reported by NBC.
• Internal owner of widely-used Python data libraries (seaborn, statsmodels,...)
• Presented invited keynote at internal anomaly detection conference* Helped YouTube team adjust their forecasts for the pandemic impact, and helped many other teams across Google (23 peer bonuses, 7 spot bonuses)
• Volunteered at 2019 Women in Statistics & Data Science event in Bellevue, WA

Mountain View, CA, US

• First data scientist hired into Google's Supply Chain organization in Seattle/Kirkland.
• Created automated ML forecast models for all of Google's Consumer Hardware products
• Created the first weekly business review metrics decks for many teams
• Taught metrics design and data science to hundreds of other Googlers
• Created fancy data visualizations presented by our SVP on stage
• Presented invited talk at JSM 2018, “What Statisticians Need to Know to Work in Tech”

Redmond, Washington, US

• Shipped Windows 10
• Led and advised various data science projects in the Windows and Devices Group (WDG)
• Created and evaluated statistical methods to compare Windows quality and performance across builds
• Architect for the WDG Experimentation Platform
• Reviewer, Microsoft Journal of Applied Research
• Session Chair of the Experimentation Track at the Machine Learning, Analytics, and Data Science (MLADS) Conference (Spring, 2016)

Various independent projects

Seattle, WA, US

• First engineer hired into Amazon Go.
• Designed and implemented the initial technical architecture.
• Created demonstrations for the CEO.
• Represented Amazon in a visit to the MIT Media Lab.
• Hired more than 30 Senior/Principal software engineers and research scientists.
• Invented new approaches to hard computer vision challenges (more than 60 patent ideas).

Seattle, WA, US

I was responsible for the end-to-end worldwide consumer Search Experience, from the search box you type into to the results returned. This included both Amazon's web pages that display search results and the internal search service that powers the website and many other services including AWS.I wrote production code, invented technology, mentored other.

Sunnyvale, CA, US

I was the Distinguished Engineer on the Technical Product and Strategy team reporting to the CEO. We advised executive staff on technical strategy and overall direction for Yahoo!, opened and staffed a new Yahoo! Bellevue (Seattle) location, defined Yahoo!'s Web Services standards, and created the Yahoo! Open Strategy. In this role, I wrote software.

Redmond, Washington, US

I was a senior software developer on the Xbox 360 launch team. Prior to launch, my team and I implemented the Xbox emulator for backwards compatibility, hailed as one of Microsoft's greatest technical achievements. I personally implemented emulation for the file system, networking and Xbox Live and created the backwards compatibility consumer feedback.

Redmond, Washington, US

I was a key contributor to Microsoft's XML query efforts, including adding XML to SQL Server (Microsoft's flagship database) and prototyping, designing, and implementing XQuery. An XML query algebra I invented became the basis for Office 2007's XML application framework and Microsoft's XSLT engine. I also represented the XML team inside and outside.

Pasadena, CA, US

I managed the software team for NASA's optical Interferometry Science Center, working on projects such as the Keck Interferometer and the Space Interferometer Mission. I was a programmer on AstroVR, a pioneering and influential pre-Web Internet application. I implemented an astrophysics simulator that was the world's fastest backwards ray-tracer and used.

Bs, Mathematics

Ms, Mathematics

Education record