Aleksandr Solovev
AI Frameworks Engineer at Intel Corporation
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolAleksandr Solovev is an AI Frameworks Engineer with seven years of experience, currently based in Munich and working at Intel where he progressed from ML intern to engineer roles. He specializes in back-end and ML engineering for performance-focused libraries, contributing notable fixes, tests, and oneAPI integrations to the oneDAL data analytics project. Aleksandr combines practical production code changes—such as queue fixes and algorithm interface additions—with documentation and refactoring, showing care for maintainability as well as correctness. His background in computer science from Nizhny Novgorod State University underpins a strong foundation in algorithms and systems. Colleagues describe him as a detail-oriented engineer who bridges low-level performance concerns with higher-level ML workflows. He brings a pragmatic open-source mindset to enterprise-scale AI framework development.
7 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Github Skills (11)
algorithm10
oneapi10
c-language10
machine-learning-algorithms10
cpp10
cprogramming-language10
analytics9
data-science9
data-analysis9
ai9
machine-learning9
Programming languages (4)
Github contributions (5)
uxlfoundation/oneDAL
Jan 2021 - Nov 2022
oneAPI Data Analytics Library (oneDAL)
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:389 reviews, 24 commits, 257 PRs in 1 year 10 months
Contributions summary:Aleksandr's commits primarily involve modifications to the oneAPI Data Analytics Library (oneDAL), focusing on incorporating oneAPI interfaces for specific algorithms like Covariance and related testing. They have also implemented fixes and improvements, like adjusting include statements and correcting queue usage in examples related to decision forest implementation. Further contributions include the addition of documentation, refactoring to enhance code quality and adding of tests, demonstrating a comprehensive understanding of the library's structure and functionalities.
swrepodata-analyticsanalyticscppdata-analysis
Alexandr-Solovev/mp1-practice
Sep 2018 - Dec 2020
Репозиторий для сдачи практических заданий по курсу Методы программирования
Contributions:23 PRs, 593 pushes, 31 branches in 2 years 3 months
crosswordservicenowqualcommjstreebeancount
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