Reza Hosseini
Summary
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RockstarReza Hosseini is a Senior Staff Software Engineer in the San Francisco Bay Area with 10 years of experience building measurement, experimentation, and forecasting systems that help organizations "measure what matters." He has led variance reduction, causal inference, and forecasting platform work at LinkedIn and previously developed experimentation and system-health methodologies at Google, grounded in a PhD in Statistics. Reza’s background spans academic and industry research—from novel Bayesian online incident-duration prediction to radar-based short-term weather forecasting—giving him a rare blend of probabilistic modeling and production engineering. Known for turning complex time-series and causal problems into scalable platforms, he also focuses on human evaluations to align models with real-world outcomes. Colleagues rely on him to translate rigorous statistical methods into dependable, company-wide tooling that informs decisions at scale.
11 years of coding experience
Github Skills (6)
forecast8
forecasting8
python7
time-series7
machine-learning7
deep-learning6
Programming languages (1)
Github contributions (5)
Reza1317/extract-canadian-climate-data
Aug 2015 - May 2019
Contributions:5 pushes in 3 years 9 months
Reza1317/funcly
Jun 2019 - Feb 2020
Contributions:76 pushes, 1 branch in 8 months
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