Anton Gudin
About Anton Gudin
Anton Gudin is a Lead Software Engineer at FINRA, where he has worked since 2015, focusing on enhancing system performance and reliability using a diverse tech stack. He played a significant role in redesigning the CAT Data Management platform for scalability, managing over 100 billion events daily.
Work at FINRA
Anton Gudin has served as a Lead Software Engineer at FINRA since 2015. In this role, he utilizes a diverse technology stack, including Java, Scala, AWS, and Postgres, to enhance system performance and reliability. He has played a key role in the redesign plan for the CAT Data Management platform, which is responsible for processing over 100 billion events daily. His contributions include developing a performance modeling and measurement framework aimed at improving the platform's efficiency.
Previous Employment History
Before joining FINRA, Anton Gudin worked as a Senior Software Engineer at EastBanc Technologies from 2014 to 2015. He also held a Senior Software Engineer position at M.C. Dean, Inc. from 2010 to 2014. His earlier experience includes working at Comodo as a Senior Software Engineer from 2008 to 2010 and as a Software Developer at Miratech from 2006 to 2008. These roles contributed to his extensive experience in software engineering and system design.
Education and Expertise
Anton Gudin studied Applied Mathematics at Odessa National Polytechnic University, where he earned a Master's degree from 2003 to 2008. He also attended Kharkiv Patent Computer College, achieving the status of Young Specialist in Programming from 1999 to 2003. His educational background provides a strong foundation for his expertise in software engineering and system performance optimization.
Technical Contributions
Throughout his career, Anton Gudin has made significant technical contributions, including the development of an event-sourced service to synchronize data changes between systems in the STAR project. He has also contributed to the design and implementation of asynchronous communication and distributed workflow management services for the STAR system. These efforts demonstrate his ability to enhance system scalability and reliability.