Anatoly Scherbakov is a back-end software engineer with 12 years of experience specializing in Python, clean maintainable code, and automation to improve developer productivity. He brings practical expertise in Semantic Web and Linked Data, contributing test automation to the widely used RDFLib project to harden RDF handling and URL fragment behaviors. Anatoly champions engineering standards and processes, pairing software architecture instincts with hands-on test and QA work to reduce regressions and streamline delivery. Based in Yerevan, he combines a formal applied computing background with an unusual creative side—formal training in voice and opera—which informs a disciplined, detail-oriented approach to problem solving.
12 years of coding experience
Voice and Opera, Voice and Opera at Barnaul College of Music
Specialist, Applied Computing in Economics, Specialist, Applied Computing in Economics at Томский Государственный Университет Систем Управления и Радиоэлектроники
RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:6 commits, 3 PRs, 8 comments in 1 year 5 months
Contributions summary:Anatoly focused on improving the test suite for the rdflib library. Their contributions involved adding new tests for the `create_input_source` function, ensuring it correctly handles different arguments and edge cases. They also wrote a test for a named graph feature to verify the expected behavior with fragments in URLs and removed a defrag method. The user's work indicates a focus on verifying the library's functionality through comprehensive testing.
Data structures for Clean Architecture applications
Contributions:44 commits, 1 PR, 11 pushes in 4 months
data-structuresarchitectureclean
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Anatoly Scherbakov - Software Engineer at datafold