Artur Barseghyan
Senior Software Engineer - SN AI Lab at Springer Nature Group
Groningen, Groningen, Netherlands
Summary
👤
Senior🎓
Top SchoolArtur Barseghyan is a Senior Software Engineer with 12 years of experience building backend systems, search, and API-driven products, now working in the SN AI Lab in Groningen. He blends deep Python expertise with modern JavaScript, databases, LLMs and DevOps practices, and has repeatedly shipped production-grade tooling and test automation across startups and established teams. Artur is an active open-source contributor—improving packaging and release workflows for projects like podman-compose and expanding test coverage for the widely used faker library—demonstrating a focus on reliability and reproducible releases. A former technical lead and team lead, he pairs hands-on coding with mentoring and architecture work, often tackling performance and deployment pain points. Outside of engineering he is an avid photographer, bringing a creative, detail-oriented perspective to problem solving.
12 years of coding experience
22 years of employment as a software developer
Master of Science (M.S.), Software Development, Master of Science (M.S.), Software Development at State Engineering University of Armenia
English, Dutch, Armenian, Russian
Stackoverflow
13,484reputation
6.6mreached
117answers
3questions
datetime
top-5%
authentication
top-5%
image
top-1%
docker
top-5%
package
top-5%
git
top-5%
Github Skills (35)
container10
test-data10
python10
image10
testing10
packaging10
bash10
python-packaging10
faker10
package10
test-generator10
test-automation10
authentication9
git9
docker-compose9
Programming languages (17)
Github contributions (5)
joke2k/faker
Sep 2017 - Jan 2023
Faker is a Python package that generates fake data for you.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 2 PRs, 11 comments in 5 years 4 months
Contributions summary:Artur focused on expanding the test coverage for the `faker` library. Their contributions included adding new tests for internet-related functionalities, specifically for email generation and handling of ASCII characters. They also implemented tests for specific locales and ensured the correct behavior of the library in diverse scenarios. Furthermore, the user introduced tests for arabic character replacement and included test for the `faker-file` package.
pythontest-datatestingdummy-datadataset
containers/podman-compose
Aug 2019 - Aug 2019
a script to run docker-compose.yml using podman
Role in this project:DevOps Engineer & Python Developer
DevOps Engineer & Python DeveloperContributions:10 commits, 5 PRs, 11 comments in 1 day
Contributions summary:Artur focused on improving the packaging and release process of the `podman-compose` project. Their contributions include modifying scripts for clean-up, uninstalling, and making releases, as well as integrating the `twine` package for uploading to PyPI. Furthermore, they addressed packaging-related issues, such as updating the setup.py file to fix long descriptions, correct package paths, and manage versioning. The changes demonstrate a focus on automating and streamlining the project's build and deployment procedures.
containerspodmanrootless-containersdockercompose
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