Vitaly Samigullin
Senior Software Engineer at ANNA Money
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolVitaly Samigullin is a Senior Software Engineer with 12 years of experience building scalable backend systems, infrastructure, and compliance automation for fintech. He specializes in transaction monitoring, AML/KYC, and sanctions screening, having designed greenfield TM solutions and led migrations from monoliths to microservices that cut processing times from tens of minutes to seconds. Equally comfortable in Python and Clojure, he blends hands-on engineering with DevOps ownership—optimizing CI/CD, observability, Docker images, and automated OSS license checks across teams. Vitaly is a pragmatic technical leader who hires and mentors engineers, defines coding standards, and has driven product improvements that materially reduced manual workloads and false positives. He's also an active open-source contributor, enhancing Pydantic with new types, validators and serialization features used widely in the Python ecosystem.
12 years of coding experience
10 years of employment as a software developer
Specialist, Information Security, Specialist, Information Security at Ufa State Aviation Technical University
English, Russian, German
Stackoverflow
1,962reputation
360kreached
65answers
1question
python
top-5%
Github Skills (15)
pydantic10
data-validation10
pytest10
python10
testing10
sequence8
kubernetes-helm6
kubernetes6
gunicorn6
coreos6
linux6
batchfile6
pygame6
python-path6
flask6
Programming languages (14)
Github contributions (5)
pydantic/pydantic
Mar 2019 - May 2019
Data validation using Python type hints
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 15 PRs, 42 comments in 1 month
Contributions summary:Vitaly primarily contributed to the `pydantic/pydantic` repository by adding new types and validators for various data types, including IP addresses, networks, interfaces, and sequences. They implemented these features, added unittests, and updated documentation and examples to reflect these changes. The user also worked on dataclass schema generation and JSON serialization, demonstrating a focus on improving the library's type validation capabilities.
data-parsingpython310python311pythoninspection
pilosus/pip-license-checker
Nov 2020 - Jan 2023
Check license types for third-party dependencies: permissive, copyleft, proprietory, etc.
Contributions:7 releases, 113 commits, 151 PRs in 2 years 2 months
dependencieslicense-typeslicense-checkingcopyleftparty
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