Hossein Sarshar

Staff AI Infra Architect at Google

Old Toronto, Ontario, United States
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Summary

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Senior
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Top School
Hossein Sarshar is a seasoned machine learning researcher and software engineer with a decade of experience building large, intelligent applications and hyperscale AI infrastructure. Currently a Staff Specialist at Google after leading ML architecture and data science efforts at Microsoft, he blends production-grade software engineering with advanced ML research in spatiotemporal analytics, recommender systems, and feature learning. He has a track record of inventing practical algorithms—such as a distributed graph-based unsupervised attribution model—and productionalizing data-driven solutions for major Canadian and North American organizations. Comfortable across Azure, AWS, and GCP, he pairs big-data tooling (Spark, Kafka, BigQuery) with strong programming skills in Python, C#, C++ and Java. A fast learner and mentor, Hossein’s background in sensor-based mobility research and retail trajectory modeling gives him a unique edge in applying ML to real-world, high-volume systems.
code10 years of coding experience
job13 years of employment as a software developer
bookMaster’s Degree Computer Science - Machine Learning, Master’s Degree Computer Science - Machine Learning at Dalhousie University
bookBachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Multimedia University
languagesPersian, English
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Stackoverflow

Stats
486reputation
946kreached
5answers
3questions
Badges
duplicates
top-5%
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Github Skills (70)

notebook10
curses10
process-monitoring10
nvml10
command-line-tool10
htop10
nvidia-smi10
xla10
transformer10
gpt10
llama10
resource-monitor10
amd10
nvidia10
cuda10

Programming languages (9)

HCLPowerShellC#TypeScriptShellC++Jupyter NotebookPython

Github contributions (5)

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hosseinsarshar/exp-repro

Oct 2019 - Apr 2020

Contributions:14 commits, 8 pushes, 1 branch in 6 months
Mobivity/DataScience

Jun 2017 - Aug 2017

Contributions:215 pushes, 4 branches in 2 months
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