Summary
Aleksey Shipilëv is a Principal Engineer with 14+ years of deep expertise in Java platform performance, JVM internals, GC, JIT, and low-level x86 micro-optimizations, currently optimizing JDK performance at AWS. He has driven performance work across Oracle, Red Hat and open-source projects, contributing to flagship OpenJDK tools such as JOL, JMH, Loom and the JDK itself, with hands-on fixes touching GC implementations (Shenandoah, ZGC), continuations, and perf tooling. He combines systems-level C/C++ and VM development with practical Java SE/EE tuning and a toolbox of scripting “glue” technologies for testing and automation. Aleksey also applies machine-learning techniques to performance testing and is known for improving benchmark reliability and measurement accuracy in industry-standard tooling. Based in Potsdam, Germany, his contributions reflect both research-caliber insight and pragmatic engineering that measurably speeds runtimes and reduces datacenter energy use.
14 years of coding experience
19 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Krasnoyarsk Summer School
Computer Science, Computer Science at Station of Young Technicians
Master of Science, Computer Science, Master of Science, Computer Science at ITMO University
Russian, English