Anton Bikineev
Staff Software Engineer at Google
Munich, Bavaria, Germany
Summary
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Rockstar🎓
Top SchoolAnton Bikineev is a Staff Software Engineer based in Munich with 12 years of experience designing and implementing high-performance C++ systems for cloud, security, and parallel computing. At Google since 2019, he builds scalable backend infrastructure and brings prior experience developing a microkernel-based secure OS at Kaspersky and backend automation at Parallels. A strong open-source contributor, he has improved Microsoft’s C++ REST SDK, refined Boost.Math’s special functions (notably Bessel-related algorithms), and enhanced serialization and performance in the HPX parallelism library. His work combines deep numerical and systems expertise with practical engineering—optimizing accuracy, movable-type safety, and high-throughput data transfer—reflecting a knack for subtle correctness and efficiency improvements.
12 years of coding experience
6 years of employment as a software developer
Kirov physics and mathematics lyceumBachelor of Science (BS), Applied Mathematics, Bachelor of Science (BS), Applied Mathematics at National Research University of Electronic Technology (MIET)
English
Github Skills (20)
cpp-library10
c-language10
parallel10
data-serialization10
asynchronous-tasks10
serialization10
f10
cpp10
cprogramming-language10
boost10
concurrency10
data-structure9
algorithm9
algorithms9
http9
Programming languages (7)
Github contributions (5)
TheHPXProject/hpx
Sep 2014 - Mar 2018
The C++ Standard Library for Parallelism and Concurrency
Role in this project:
Back-end Developer
Back-end DeveloperContributions:193 commits, 42 PRs, 83 pushes in 3 years 6 months
Contributions summary:Anton's commits primarily focused on enhancing the HPX C++ Standard Library for Parallelism and Concurrency by implementing and refining serialization features. They added and modified header files and source code related to serialization, including the introduction of `safe_lexical_cast.hpp` to handle and wrap potentially unsafe `boost::lexical_cast` operations, and the addition of support for serialization of standard library containers. These changes are crucial for ensuring data integrity during inter-process communication and distributed computing within the HPX library. They also added optimizations related to serialization by using binary chunking to improve performance of data transfer operations.
concurrencycppc-plus-plusdistributedcross-platform
boostorg/math
Nov 2013 - Jan 2014
Boost.org math module
Role in this project:Back-end Developer
Back-end DeveloperContributions:28 commits in 2 months
Contributions summary:Anton primarily contributed to the development of the Boost.org math module, specifically focusing on the implementation and refinement of special functions, particularly those related to Bessel functions and their derivatives. Their contributions involved the creation of new header files defining these functions and the modification of existing files to incorporate asymptotic expansions and Taylor series for improved accuracy, especially for large and small argument values. These changes include tag dispatching for optimizations, improving precision, and the addition of test cases for these functions.
eigenvaluesmathmathematicsmultiprecisiondeterministic
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