Aidar Samerkhanov is a Principal Software Engineer with nine years of experience specializing in database internals, query optimization, and AI-driven optimization techniques. He has led high-impact work on distributed OLAP/OLTP systems at Yandex (YDB) and Huawei (GaussDB), pioneering vectorized query execution with Apache Arrow and exploring machine-learning approaches to join-order and adaptive optimization. Aidar combines hands-on performance tuning—from TPC-DS improvements to fast data warehouse loaders—with architecture and team leadership across cloud migrations and data-platform builds. He has driven practical tooling and benchmarking (including a YDB workload tool) and built reliable migration strategies for Kafka and ETL at scale. Based in Kazan, he blends deep academic training (Master’s in Computer Science) with a pragmatic focus on measurable throughput and latency gains, often finding novel intersections between research papers and production systems.
9 years of coding experience
12 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Kazan State University
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