Andrey Morkovkin
Machine Learning Engineer at YADRO
Russia
Summary
🤩
Rockstar🎓
Top SchoolAndrey Morkovkin is a machine learning engineer with nine years of experience building and optimizing ML systems for enterprise use, currently applying his expertise at YADRO. He spent several years at Intel contributing to oneAPI Data Analytics Library, where he implemented performance optimizations for new Intel hardware and authored reproducible ML notebooks and articles demonstrating those gains. Andrey is an active open-source contributor — notably hardening oneDAL by closing null-byte injection vectors and tightening exception handling — showing a pragmatic focus on security and data integrity in high-performance code. He holds bachelor’s and master’s degrees in Informatics from UNN and shares insights and experiments on Kaggle and Medium, reflecting a blend of research curiosity and production-focused delivery.
9 years of coding experience
2 years of employment as a software developer
Master of Fundamental Informatics and Informational Technologies (Cognitive Systems), Information Technology, Master of Fundamental Informatics and Informational Technologies (Cognitive Systems), Information Technology at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Github Skills (11)
it-security10
error-handling10
data-analytics10
c-language10
cpp10
cprogramming-language10
security10
data-structure9
data-structures9
oneapi9
data-science8
Programming languages (6)
Github contributions (5)
uxlfoundation/oneDAL
Sep 2019 - Nov 2021
oneAPI Data Analytics Library (oneDAL)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 reviews, 30 commits, 38 PRs in 2 years 1 month
Contributions summary:Andrey implemented crucial security enhancements by adding checks for null byte injection vulnerabilities across multiple data source components. They modified code in various header files, including `file_data_source.h`, `odbc_data_source.h`, `mysql_feature_manager.h`, `csv_data_source.h`, and `kdb_data_source.h`, to prevent potential exploits. Furthermore, the user made exception messages more secure and optimized certain calculations. These changes indicate a focus on data integrity and system security within the data analytics library.
swrepodata-analyticsanalyticscppdata-analysis
masdevas/oneDAL
Sep 2019 - Oct 2021
Intel® Data Analytics Acceleration Library (Intel® DAAL)
Contributions:145 pushes, 45 branches in 2 years 1 month
data-analyticsanalyticsaccelerationintel
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.