DevOps Backend Developer For Generative Answers At Yandex
Belgrade, Central Serbia
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Summary
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Senior
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Top School
Aleksandr Kovalko is a seasoned C++/Python developer with a decade of experience building high-performance backends and cloud-ready infrastructure, currently focused on DevOps and generative answer systems at Yandex. He bridges low-latency C++ services and Python data pipelines to run BERT models in real time on large GPU clusters, optimizing systems that handle up to 20k RPS and process terabytes via MapReduce. His background includes mobile GIS rendering and ISO 26262-compliant C/C++ libraries for autonomous vehicle stacks, giving him a rare blend of performance engineering, safety-critical development, and production observability expertise. Based in Belgrade and trained in distributed systems, he is actively transitioning toward AWS cloud architecture while continuing to contribute pragmatic tooling and automation that improve reliability and operational efficiency.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Applied mathematics and informatics, Bachelor's degree, Applied mathematics and informatics at Novosibirsk State Technical University (NSTU)
Distributed Systems Engineering, Distributed Systems Engineering at Yandex School of Data Analysis
UDP File sender and receiver using BROADCAST address
Contributions:1 release, 21 commits, 4 PRs in 1 year 1 month
rtlsdraddresssenderreceiverbroadcast
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Aleksandr Kovalko - DevOps Backend Developer For Generative Answers At Yandex