Adir Gabai

Adir Gabai

Software R&D Manager @ Lightbits Labs

About Adir Gabai

Adir Gabai is a Software R&D Manager with expertise in developing high-performance distributed systems. He has worked at Lightbits Labs since 2017 and previously at Stratoscale, and holds degrees in Computer Engineering and Computer Science from Technion and Reichman University, respectively.

Work at Lightbits Labs

Adir Gabai has been employed at Lightbits Labs since 2017, serving as a Software R&D Manager. In this role, he leads a team focused on developing the control path for NVMe/TCP storage cluster solutions. His responsibilities include overseeing cluster management tasks such as adding and removing nodes, health monitoring, primary failover, and rolling upgrades. His expertise in high-performance distributed systems is integral to the company's operations and product development.

Previous Experience at Stratoscale

Before joining Lightbits Labs, Adir Gabai worked at Stratoscale as a Software Developer from 2015 to 2017. During his two years at Stratoscale, he contributed to various software development projects, enhancing his skills in distributed systems and software engineering. This experience laid the groundwork for his subsequent role at Lightbits Labs.

Education and Expertise

Adir Gabai holds a Bachelor's Degree in Computer Engineering from the Technion - Israel Institute of Technology, where he studied from 2003 to 2007. He also earned a Master's Degree in Computer Science from Reichman University (IDC Herzliya), completing his studies from 2011 to 2015. His educational background provides a strong foundation for his expertise in developing high-performance distributed systems.

Focus Areas in Software Development

In his current role, Adir Gabai focuses on cluster management tasks, which are critical for the stability and performance of distributed systems. His work includes adding and removing nodes, health monitoring, primary failover, and managing rolling upgrades. These tasks are essential for maintaining the efficiency and reliability of storage cluster solutions.

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