Anton Mazhurin is a Senior Machine Learning Engineer with 10+ years designing and deploying production-grade ML systems across security, retail, and medical domains. He currently leads Layer 7 DDoS mitigation work at eQualitie, building real-time streaming pipelines, sessionization, feature generation and decisioning with Kafka, Spark, Kubernetes and isolation forests. His background spans recommendation engines and evolutionary hyperparameter tuning at Rubikloud to low-level signal processing and FDA‑approved biofeedback software, giving him rare depth from embedded sensors to cloud-native inference. Comfortable with both research and ops, he combines hands-on C++/Python development with scalable MLOps practices (Argo, KSQL) to turn anomaly detection research into automated defenses. Based in Tuscany, he blends rigorous academic roots in Monte‑Carlo modeling with pragmatic system-building experience that surfaces subtle, hard-to-detect patterns in time-series and network traffic.
10 years of coding experience
23 years of employment as a software developer
Post graduate study, Monte-Carlo modelling of electron beam interaction with a solid target, Post graduate study, Monte-Carlo modelling of electron beam interaction with a solid target at Saint Petersburg State University of Aerospace and Instrumentation
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Anton Mazhurin - Senior Machine Learning Engineer at eQualitie