George Verbitsky
About George Verbitsky
George Verbitsky is a Member of Technical Staff at Percipient.ai, where he has worked since 2018. He specializes in scalable distributed systems, web security, and has a strong background in mathematics and computer science.
Work at Percipient
George Verbitsky has been a Member of Technical Staff at Percipient.ai since 2018. He is based in Santa Clara, CA, and has contributed to the development of scalable distributed systems and eventual consistency systems. His role involves creating system simulators and working with microcode, leveraging his expertise in web and enterprise security. Verbitsky focuses on graph-based root cause analysis processing and open networking technologies, applying his knowledge to enhance the company's technical capabilities.
Education and Expertise
George Verbitsky studied at Tel Aviv University, where he earned a Bachelor of Science in Mathematics and Computer Science from 1991 to 1994. He furthered his education at the same institution, obtaining a Master of Science in Computer Science from 1994 to 1996. His academic background supports his expertise in developing scalable distributed systems, web and enterprise security, and working with both frontend and backend compilers.
Background
Before joining Percipient.ai, George Verbitsky worked at Cisco Systems as a Senior Software Engineer from 2005 to 2012 in San Jose, CA. His experience in this role included working with policy systems and developing various software solutions. Verbitsky has a strong foundation in graph algorithms and rule engines, which informs his current work in technical staff roles.
Technical Skills
George Verbitsky specializes in creating system simulators and has significant experience with microcode. His technical skills encompass web and enterprise security, code generation, and object compilers. He is proficient in developing scalable distributed systems and eventual consistency systems, which are critical for modern software applications. Additionally, he focuses on graph-based root cause analysis processing, enhancing system diagnostics and troubleshooting.