Denis Myagkov

Denis Myagkov

Platform Teamlead @ Firebolt

About Denis Myagkov

Denis Myagkov is a Platform Teamlead at Firebolt in Germany, skilled in various programming languages and experienced in developing high-load distributed systems. He holds a Master's degree from Moscow University of Finance and Law and specializes in optimization techniques and machine learning methods.

Work at Firebolt

Denis Myagkov has been serving as the Platform Teamlead at Firebolt since 2021. In this role, he oversees the development and optimization of platform solutions, focusing on high-load distributed systems. His leadership contributes to the company's efforts in enhancing performance and scalability within hybrid-cloud environments. His tenure at Firebolt spans three years, during which he has applied his extensive knowledge in programming and system architecture.

Education and Expertise

Denis Myagkov earned a Master's degree from Moscow University of Finance and Law (Mfua) between 1998 and 2003. His educational background provides a strong foundation for his work in technology and programming. He possesses skills in multiple programming languages, including Java/Kotlin, Rust, Go, and Python. His expertise extends to optimization techniques and machine learning methods, which he utilizes in developing advanced algorithmic solutions.

Background

Denis Myagkov has a solid background in technology, particularly in the development of high-load distributed systems. He has experience with web technologies such as TypeScript, Angular, and React. His familiarity with cloud platforms, including AWS and GCP, enhances his ability to work in modern computing environments. Additionally, he has deep domain knowledge in applied optimization for various sectors, including manufacturing, plant maintenance, logistics, and corporate finance.

Technical Skills

Denis Myagkov is skilled in multiple programming languages, including Java/Kotlin, Rust, Go, and Python. He specializes in developing high-load distributed systems and advanced algorithmic solutions for hybrid-cloud environments. His technical abilities also encompass optimization techniques and machine learning methods, which are essential for enhancing system performance. His proficiency in web technologies such as TypeScript, Angular, and React further supports his work in platform development.

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