Siavash Alemzadeh

Senior Machine Learning Engineer at Uber

Sunnyvale, California, United States
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Summary

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Senior
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Siavash Alemzadeh is a Senior Machine Learning Engineer with nine years of experience building and deploying production ML systems, currently contributing to Uber after a multi-year impact at Microsoft. He specializes in end-to-end ML pipelines, from data onboarding and counterfactual evaluation to latency-optimized LLM-driven recommendation services and RL-based personalizers that served hundreds of campaigns and billions of impressions. His background spans applied research in human-centered reinforcement learning and multiagent control from a PhD in Aeronautics and Astronautics, bringing rigorous modeling and control-theoretic insights to product teams. Siavash also mentors and teaches practitioners as an ML instructor, translating advanced concepts into practical skills for engineers. Colleagues rely on him to bridge research and deployment—improving model throughput, reducing latency, and integrating vision and language features to boost real-world metrics. Based in Sunnyvale, he combines academic depth with a track record of scalable, user-facing AI solutions.
code9 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy - PhD Aeronautics and Astronautics, Doctor of Philosophy - PhD Aeronautics and Astronautics at University of Washington
bookMaster's degree Statistics, Master's degree Statistics at Penn State World Campus
bookBachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at Sharif University of Technology
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Github contributions (5)

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siavash91/TC-DQN

Feb 2020 - Jul 2020

Contributions:105 commits, 79 pushes in 5 months
siavash91/Td-INDP-NN

Jul 2020 - Sep 2022

Contributions:87 commits, 3 pushes in 2 years 3 months
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Siavash Alemzadeh - Senior Machine Learning Engineer at Uber