Art Semyonov is a seasoned software engineer with 14 years of experience specializing in model deployment and inference infrastructure for machine learning systems. He has held senior and architect-level roles across startups and product teams, most recently leading model deployment at Rime after building inference platforms at Tomato.ai. Art combines deep hands-on engineering with systems thinking—from designing scalable inference pipelines to guiding architectural strategy as a chief software architect. His background spans production-focused roles at companies like Mycelial, Hippo, and Blink Health, reflecting a track record of shipping reliable, high-performance services. Notably, he moves comfortably between founding-level technical leadership and day-to-day implementation, making him effective at turning research models into maintainable production systems.
14 years of coding experience
11 years of employment as a software developer
Kazan State University
Saint Petersburg State University of Aerospace and Instrumentation
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