

Mark Andreev
Technology / Internet
About Mark Andreev:
Accomplished Senior Software Engineer located in London, specializing in optimizing ML systems and MLOps with Java, Python, PostgreSQL, Kubernetes, Spring, and Vert.x for Kafka & Clickhouse feature stores.
Actively contributing to open-source projects such as Keycloak, Apache Camel, Apache Ignite, Clickhouse, Zipkin, and Tornado Swagger, with diverse contributions from implementing a fix for header override by Azure Storage Blob download consumer to advanced features like target encoding preprocessor and CatBoost inference integration.
Experience
Specializing in optimizing ML systems and MLOps with Java, Python, Kubernetes, Spring, and Vert.x for Kafka & Clickhouse feature stores. Also proficient in PostgreSQL and Redis. Recognized for significant achievements, including a 3x improvement in popular queries, a 5x reduction in CPU load for Kafka subscription proxies, and a stellar 15x increase in query speed. I bring a deep understanding of trade-offs, balancing performance enhancements with resource efficiency.
Education
Armed with a Master’s Degree in applied mathematics and computer science from Lomonosov Moscow State University, I am passionate about driving innovation in machine learning technologies.
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