Tsotne Tabidze

Algo Engineer at Hudson River Trading

New York, New York, United States
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Summary

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Rockstar
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Tsotne Tabidze is an algorithmic engineer with 12 years of experience building high-throughput, production ML and serving systems across top-tier firms. He has driven critical infrastructure at Quora—designing a unified ML serving framework, a high-performance bloom filter handling millions of QPS, and GDPR-compliant data workflows—and later advanced platform and trading systems at Tecton, Citadel, and now Hudson River Trading. Comfortable across backend, distributed systems, and ML platform design, he combines deep technical execution with operational rigor, having cut frequent on-call incidents by two-thirds through root-cause work and team process changes. He also has hands-on experience leading small teams and interns, translating legal and cross-functional requirements into pragmatic engineering solutions. Based in New York with an MIT CS background, Tsotne’s career reflects a pattern of delivering scalable, low-latency services that power real-time decisioning and ML deployment. An understated strength is his ability to bridge product, legal, and ops concerns to ship compliant, resilient systems.
code12 years of coding experience
job10 years of employment as a software developer
bookBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Massachusetts Institute of Technology
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1,288reputation
269kreached
8answers
1question
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Github Skills (26)

feature-store10
data-quality10
python10
data-science10
data-engineering10
big-data10
machine-learning10
model-management10
ml10
mlops10
ai10
mlops-workflow10
cuda6
wpf6
arraylist6

Programming languages (4)

HCLJupyter NotebookRubyPython

Github contributions (5)

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tsotnet/feast

Oct 2020 - May 2022

Feature Store for Machine Learning
Contributions:111 pushes, 50 branches in 1 year 7 months
pythondata-sciencemachinelearningdeep-learningmachine-learning
louissobel/treattrackr

May 2014 - May 2014

Contributions:9 commits in 4 days
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