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Practical Data Structures and Algorithms for Java Developers

De (autor): Mikhail Davidovich

Coperta cărții 'Practical Data Structures and Algorithms for Java Developers - Mikhail Davidovich'
Practical Data Structures and Algorithms for Java Developers

De (autor): Mikhail Davidovich

Mikhail Davidovich is a Lead Java Engineer with more than 15 years of experience building scalable, high-performance systems using Java and related technologies. Throughout his career, he has worked on complex enterprise and distributed systems across multiple industries, focusing on performance, reliability, and maintainability.

In addition to hands-on software development, Mikhail actively participates in technical mentoring, knowledge sharing, and engineering education. He regularly speaks on back-end architecture, distributed systems, and modern Java development topics, helping developers bridge the gap between theoretical concepts and real-world engineering challenges.

Mikhail's expertise spans Java, Spring, cloud-native systems, microservices, distributed architectures, and performance optimization. Combining practical industry experience with a strong focus on engineering thinking, he brings a real-world perspective to the study of data structures and algorithms.

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Mikhail Davidovich is a Lead Java Engineer with more than 15 years of experience building scalable, high-performance systems using Java and related technologies. Throughout his career, he has worked on complex enterprise and distributed systems across multiple industries, focusing on performance, reliability, and maintainability.

In addition to hands-on software development, Mikhail actively participates in technical mentoring, knowledge sharing, and engineering education. He regularly speaks on back-end architecture, distributed systems, and modern Java development topics, helping developers bridge the gap between theoretical concepts and real-world engineering challenges.

Mikhail's expertise spans Java, Spring, cloud-native systems, microservices, distributed architectures, and performance optimization. Combining practical industry experience with a strong focus on engineering thinking, he brings a real-world perspective to the study of data structures and algorithms.

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