Anton Shevtsov is a Senior Machine Learning Engineer based in Amsterdam with eight years of experience building production ML systems for high-traffic platforms. He has driven end-to-end solutions at Avito—ranging from spam and fraud detection to image moderation—and led speech-to-text modeling and dataset pipelines for call transcription. At Nebius he continues to scale ML infrastructure and model deployment workflows, bringing practical expertise in A/B testing pipelines and labeling processes. Trained in probability theory at Lomonosov MSU, Anton combines strong theoretical grounding with hands-on engineering that repeatedly improved real-world metrics (for example, nearly halving chat spam at Avito). He holds a Dutch residence permit and is legally eligible to work for any Dutch employer, which has smoothed his transition into the European ML landscape. Colleagues describe him as a methodical experimenter who pairs careful dataset curation with pragmatic model choices to deliver measurable business impact.
The most intuitive, flexible, way for researchers, ML engineers and data scientists to build models (with PyTorch) and ML systems for the ML lifecycle with an obsessive focus on flexibility and performance.
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Anton Shevtsov - Machine Learning Engineer at Nebius