Andrei Kirilenko is a Senior Software Engineering Manager at Yandex with nine years of experience building scalable ML infrastructure and distributed training platforms for Yandex.Cloud’s AI Studio. He progressed from hands-on engineering—implementing multi-node training data delivery, tuning PyTorch/NCCL for RoCE clusters, and shipping ASR pipelines—to leading teams and shaping architecture and product priorities. Andrei combines low-level concurrency expertise (authoring a lock-free Java set with JCStress tests) with practical ML systems work, mentoring junior engineers and teaching university courses. Based in Saint Petersburg, he pairs strong academic credentials in machine learning and computer science with a proven track record of turning research-grade techniques into production-ready cloud services.
9 years of coding experience
6 years of employment as a software developer
Computer science, 4.9 / 5, Computer science, 4.9 / 5 at St. Petersburg Academic University
Master's degree, Machine Learning, Master's degree, Machine Learning at Высшая Школа Экономики
Repository to store student's practical works on high performance computing course
Role in this project:
Back-end Developer & QA Engineer
Contributions:11 commits, 2 PRs, 2 comments in 3 months
Contributions summary:Andrei primarily contributed to a project related to high-performance computing by implementing a lock-free set data structure in Java. They designed the LockFreeSet class, incorporating atomic operations for concurrency. Their work also included the creation of unit tests and JCStress tests for concurrent correctness. The user also worked on a multithreaded producer/consumer program with mutexes and conditional variables.
Contributions:27 PRs, 221 pushes, 13 branches in 4 months
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Andrei Kirilenko - Senior Software Engineering Manager at Yandex