Aslan Bakirov is a VP of Engineering and seasoned software leader with 12 years’ experience building scalable data and ML systems across startups and hyperscale platforms. He blends hands-on backend and DevOps expertise—contributing to projects like CrateDB and Alluxio—with strategic leadership at companies such as IOMETE and causaLens, and production ML platform work at Facebook. His recent research stint at the Wellcome Sanger Institute reflects a unique crossover: applying foundational AI methods to single-cell biology. Comfortable across JVM, Go, Kubernetes and distributed databases, he has a track record of improving performance, stability and deployment of stateful systems at scale. He pairs academic rigor from an MSc in Computer Engineering with practical delivery, often surfacing non-obvious improvements like CPU-metric and regex-handling fixes that materially boost system reliability.
12 years of coding experience
13 years of employment as a software developer
BSc Computer Engineering, BSc Computer Engineering at Boğaziçi University
Master of Science (M.Sc.) Computer Engineering, Master of Science (M.Sc.) Computer Engineering at İstanbul Şehir University
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Role in this project:
Backend Developer
Contributions:10 commits, 24 PRs, 55 pushes in 4 months
Contributions summary:Aslan contributed to the CrateDB project by implementing several features and fixing bugs within the backend codebase. Their work included adding a JVM version check, refactoring Java 7 related code, and fixing an issue with dangling readers in regex matching. Furthermore, the user made improvements related to CPU usage metrics within the sys.nodes table, and enhancements to distance queries using ES2.2 improvements. These changes demonstrate a focus on improving the stability, performance, and feature set of the database.
Alluxio, data orchestration for analytics and machine learning in the cloud
Role in this project:
DevOps Engineer & Backend Developer
Contributions:6 commits, 12 PRs, 22 comments in 1 year 10 months
Contributions summary:Aslan primarily focused on integrating Tachyon with Mesos, enhancing its deployment and management capabilities. They implemented features to fetch executor dependencies from URIs and refined task management with status updates within the Mesos framework. Furthermore, they modified core configurations, including those related to HDFS implementations, improving the system's flexibility and integration with other services. Finally, the user added the framework name for Mesos-DNS integration.
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