Mirza Aliev
Senior Software Engineer at GridGain Systems
Georgia
Summary
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Rockstar🎓
Top SchoolMirza Aliev is a Senior Software Engineer with 12 years of experience specializing in distributed systems and in-memory computing, based in Georgia. He works on the core team for Apache Ignite at GridGain Systems, focusing on data rebalancing and the Raft consensus algorithm to improve system correctness and resilience. His open-source contributions to the widely used Apache Ignite project include bug fixes and enhancements that addressed worker thread blocking, deadlocks, TTL-related cache size issues, and historical rebalancing failures. Mirza combines deep algorithmic training from Saint Petersburg State University with hands-on production experience, routinely navigating subtle concurrency and consistency challenges. Colleagues rely on him to harden complex subsystems where correctness under concurrency matters most. He brings a pragmatic, detail-oriented approach that prioritizes stability and predictable behavior in high-throughput distributed platforms.
12 years of coding experience
Юношеская математическая школаDepartment of Software Engineering, Mathematics & Mechanics Faculty, Department of Software Engineering, Mathematics & Mechanics Faculty at Санкт-Петербургский Государственный Университет
Github Skills (18)
caching10
in-memory10
distributed-systems10
java10
apache-ignite10
javas10
disk-cache10
object-cache10
memory-cache10
web-cache10
big-data9
database8
databases8
debug8
debugging8
Programming languages (4)
Github contributions (5)
apache/ignite
Nov 2019 - Jan 2022
Apache Ignite
Role in this project:
Backend Developer
Backend DeveloperContributions:7 reviews, 49 commits, 47 PRs in 2 years 2 months
Contributions summary:Mirza primarily focused on bug fixes and enhancements within the Apache Ignite project. Their work involved addressing issues related to worker thread blocking, log level adjustments for failure messages, and resolving potential deadlocks within the cache operations. The user also contributed to improving the robustness of the system by addressing historical rebalancing failures and ensuring correct cache size calculations with TTL enabled. These contributions demonstrate a focus on improving stability and correctness of the in-memory computing platform.
data-management-platformin-memory-databasedistributed-sql-databaseapache-ignitenetwork-client
alievmirza/sofa-jraft
Aug 2021 - Sep 2024
Contributions:3 pushes, 3 branches in 3 years 1 month
raft-consensusraft-consensus-algorithmconsensuspaxosgrade
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