About

Al Kulikov is a highly skilled Software Development Engineer (SDE) with over 11 years of experience in the field. Currently, he is working as an SDE at Amazon, where he has been able to demonstrate his expertise in developing highly available distributed systems that are durable, flexible, and tolerate no downtime. Al has a deep understanding of cloud-based service-oriented architecture and has extensive experience in CPU and memory architecture. He is also proficient in data structures, algorithms, profiling, and performance optimizations. Al has a good mathematical background, which has helped him in his work as a research scientist. Al has a strong command of C++/Java, Amazon cloud, TDD, Linux, Distributed highly-available systems, and Continuous delivery. He has worked on several projects throughout his career, including context management for CAT tools, ingestion and processing of HTML and Image contexts, and highly scalable string matching systems with up to 500K strings per project and thousands of documents to match against. Al has also contributed significantly to the development of history tracking libraries, transactional libraries, and case-optimized transactional libraries that work on top of dynamoDB and provide limited transactional functionality for applications. He has also developed a procedure for integrating new NoSQL storage, which allowed for the safe migration of data from Oracle without any downtime. Al holds a degree in Computer Science from the Saratov State Technical University, where he studied from 2005 to 2010. He has worked with several companies in the past, including Smartling, where he worked as an SDE consultant, and Amazon, where he started his career as a software engineer. In summary, Al Kulikov is a highly skilled and experienced SDE with a strong command of several programming languages, cloud-based service-oriented architecture, and distributed systems. He has contributed significantly to the development of several libraries and procedures that have helped to improve the performance and scalability of applications.