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.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Massachusetts Institute of Technology
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